<h2 class="wp-block-heading" id="h-topline">TOPLINE</h2>



OpenAI—the company behind ChatGPT—is exploring ways for its popular generative artificial intelligence platform to be used in schools, according to <a href="https://www.reuters.com/technology/openai-explores-how-get-chatgpt-into-classrooms-2023-11-16/" target="_blank" rel="noreferrer noopener">Reuters</a>, marking a new undertaking for the company that’s been criticized by some educators for enabling cheating.



<h2 class="wp-block-heading" id="h-key-facts">KEY FACTS</h2>



Brad Lightcap, chief operating officer for OpenAI, said at a San Francisco conference last week that the company will likely create a team next year that will solely look into ways artificial intelligence can be used in education, Reuters reported.



Lightcap said at the conference that “most teachers are trying to figure out ways to incorporate (ChatGPT)” into how they teach, and that OpenAI is “trying to help them think through the problem.”



Artificial intelligence—and ChatGPT, specifically—have been criticized in the past for making it easier for students to cheat, even being&nbsp;<a href="https://www.forbes.com/sites/ariannajohnson/2023/01/18/chatgpt-in-schools-heres-where-its-banned-and-how-it-could-potentially-help-students/?sh=ffd34456e2c6">banned</a>&nbsp;by some schools and districts earlier this year.



<h2 class="wp-block-heading" id="h-big-number">BIG NUMBER</h2>



85%. That’s how many students—out of those who were able to compare human tutoring to using AI—said ChatGPT was more effective than working with a real person,&nbsp;<a href="https://www.govtech.com/education/k-12/is-chatgpt-better-than-a-human-tutor-survey-says-yes" target="_blank" rel="noreferrer noopener">according</a>&nbsp;to Government Technology.



<h2 class="wp-block-heading" id="h-key-background">KEY BACKGROUND</h2>



ChatGPT was released mid-school year last November, and districts nationwide almost immediately began banning the generative AI platform out of cheating concerns. Students are able to use generative AI platforms to write essays and complete homework, though it wasn’t hard to catch, <a href="https://www.nytimes.com/2023/06/30/technology/ai-chatbot-study-aid.html" target="_blank" rel="noreferrer noopener">according</a> to the New York Times, because of AI being in early stages and still “hallucinating,” or making things up. On Dec. 12, 2022, the nation’s second-largest district, Los Angeles Unified School District, became one of the first to block the site to “protect academic honesty,” though at the start of a new school year it introduced its own education-specific AI bot called “Ed” in about 100 schools, Politico <a href="https://www.politico.com/news/2023/08/23/chatgpt-ai-chatbots-in-classrooms-00111662" target="_blank" rel="noreferrer noopener">reported</a>. Other districts that banned it or limited access to the site <a href="https://www.forbes.com/sites/ariannajohnson/2023/01/18/chatgpt-in-schools-heres-where-its-banned-and-how-it-could-potentially-help-students/?sh=ffd34456e2c6">included</a> New York City Public Schools and schools in Montgomery County, Alabama. Since the release of ChatGPT, though, OpenAI has worked to show its value in education. In the fall, OpenAI and nonprofit Khan Academy <a href="https://openai.com/customer-stories/khan-academy" target="_blank" rel="noreferrer noopener">announced</a> a partnership to create an “AI-powered assistant” available to Khan students that works as “both a virtual tutor for students and a classroom assistant for teachers.”

In this photo illustration, the ChatGPT (OpenAI) logo is

OpenAI Exploring ChatGPT’s Potential In Classrooms—Despite Critics Saying AI Promotes Cheating, Report Says

Artificial intelligence (AI) is transforming companies and economies worldwide, including in Africa. Data is an essential component in the training of AI systems. Unfortunately, the lack of accurate, high-quality data is a significant impediment in Africa. Synthetic data, or data generated by a computer, may be used to train AI models. While synthetic data offers tremendous opportunities for African innovation and development, it poses significant risks that must be carefully assessed.



Gathering real-world data in many African regions is difficult, expensive, and time-consuming.



These obstacles are brought about by various factors, including social, cultural, technological, and infrastructural deficiencies. Understanding and managing varied cultural traditions and languages may be challenging, especially when gathering data from multiple locations and people. As a result, synthetic data provides a solution by enabling researchers and businesses to create massive databases tailored to their specific needs. 



Data poverty is a lack of access to high-quality data and the ability to use such data appropriately. It’s a significant issue that hinders economic progress, decision-making, and innovation and worsens poverty. The data availability and consumption discrepancy between Africa and the rest of the world reflects more profound disparities and has significant repercussions. 



As a result, critical innovations in health, education, and transportation operate better for the rest of the globe than for Africa. For example, due to Africa’s relative data scarcity, AI systems in Africa have fewer data sets to learn from than the rest of the globe.



Synthetic data is presented as a strategy to supplement this data scarcity. The generative adversarial networks (GANs) AI method is often used to create synthetic data. GANs consist of two neural networks (akin to an artificial brain), the generator and the discriminator. The generator produces new data, while the discriminator discriminates between real and fake data. 



After they are trained adversarially (i.e. generator producing synthetic data while the discriminator differentiating fake from real data), the generator and discriminator become as good as possible at their respective tasks. One benefit of using synthetic data is that personal or sensitive information is frequently eliminated, minimizing the risk of privacy violations. This is particularly important in businesses where data privacy is vital, such as healthcare. Furthermore, by making data more available, synthetic data may lower the barriers to entry for firms and inventors.



However, synthetic data has significant drawbacks. One of them is that the models used to generate synthetic data significantly influence its quality. It reflects limitations in data (such as bias and small size), resulting in compromised and less accurate AI models and potentially perpetuating inequality, injustice and poverty. This is not the intended consequence, so there is a need to develop ethical guidelines for using synthetic data. These should first guarantee that synthetic data is anonymized for privacy protection and does not include identifiable information that may be connected back to persons.



Second, synthetic data must adhere to data protection norms and regulations governing personal information use. Third, synthetic data should accurately replicate the underlying real-world data without inserting biases or distortions. One way to achieve this is to increase data size used to generate synthetic data. Fourth, synthetic data and the processes used to create it should be disclosed. 



Fifth, explicit procedures for generating, managing, and using synthetic data should be developed and publicized. Sixth, detect and prevent misuse, as well as monitor and audit the use of synthetic data regularly. Seventh, acquire informed consent from individuals whose data were utilized to produce synthetic data, if applicable. Eighth, clarify how synthetic data will be utilized and what privacy controls will be in place. Ninth, prevent biases in synthetic data from reinforcing stereotypes or discrimination.



Tenth, keep cultural norms and values in mind while developing and exploiting synthetic data, especially when it represents different populations. Eleventh, since GANs are used to generate synthetic data and are computationally costly, consider the environmental effect of data collection, storage, and production and seek to offset any negative impacts. Twelfth, establish specific processes for exchanging synthetic data with other institutions or researchers while meeting ethical standards. 



Thirteenth, collaborate with relevant stakeholders, such as ethics committees or review boards, to ensure that synthetic data activities are handled ethically. Synthetic data has the potential to be a game-changer in Africa’s AI journey, managing data scarcity, increasing privacy, and encouraging innovation. As Africa embraces AI and synthetic data, a balanced approach is essential. Policymakers, companies, and academics must work together to guarantee that synthetic data is used correctly and ethically.

AI (Artificial Intelligence) concept. Electronic circuit. Communication network.

Synthetic Data As A Double-Edged Sword In Africa’s AI Revolution

In its latest product launch, the unicorn AI startup is bringing bots that make it sound like you’re talking to well known people like Taylor Swift into your group chat



Inside Character.AI’s disheveled Palo Alto, California headquarters, employees at first appear to be hard at work, glued to their computer monitors. But rather than coding, many of them are engrossed in lively group chats with their colleagues and the AI chatbot characters that Character has become known for. Now, thanks to a new group chat function the startup launched Wednesday, they were chatting with work friends along with bots that anyone can build to create the illusion that you’re actually talking to the likes of Napoleon Bonaparte, Tony Stark or Lucifer.



“The feature was good enough that people stopped working sometimes to use it,” cofounder Daniel De Freitas told&nbsp;Forbes. De Freitas, the company’s president, has been particularly partial to gathering team members together to play Ship AI, a chatbot programmed to act like a text-based adventure game that lets group chat participants pretend to be astronauts exploring outer space.



The group chat feature is Character.AI’s latest move in cofounder and CEO Noam Shazeer’s bet that people will want to interact with a variety of different chatbot personas, rather than having a single, all-encompassing AI companion. By allowing the company’s subscribers, who pay $9.99 per month, to interact with each other and some of the startup’s 18 million AI bots in chats at the same time, Character is hoping to establish dominance as the go-to app for AI-powered entertainment while adding to its immediate revenue stream. Shazeer said that after “some period of time,” the company plans to make the feature free “because our goal is to empower everyone with AGI,” or artificial general intelligence.



Backed by nearly $200 million from VCs including Andreessen Horowitz, and valued at $1 billion in a March funding round, Character.AI has wowed the startup community with its engagement time — it claims registered users who send at least one message on a given day spend an average of two hours on the platform. Since its initial launch in September 2022, 20 million users have signed up for Character.AI, though traffic to its website has been declining since its May 2023 peak, per analytics provider SimilarWeb. Also in May, the startup began monetizing through its subscription service, which gives customers priority access to its platform (servers have often been overloaded, and non-paying users have to wait longer to get on) and early access to new features. Character.AI declined to share any statistics on its subscribers or its recent growth traction.



The group chat feature, which&nbsp;Forbes&nbsp;tested out, is still rudimentary. In the initial iteration of Character.AI’s group chat, human users are able to chat with one another as on any messaging platform. To invoke a bot’s response, however, a user must manually tap on the icon for the specific bot they want to speak, or a dice icon which selects one of the bots in the group chat to respond at random. The bots can respond to users’ questions, as well as to one other (though in the latter case, the human must still prompt the bot to respond).



In a group chat with three&nbsp;Forbes&nbsp;reporters and Character.AI’s most popular AI personas for singer Taylor Swift and NFL player Travis Kelce, a human user asked, “Tell us your deepest insecurities about dating Taylor” and tapped on the icon for Kelce’s bot.



“My biggest insecurity about dating @Taylor-Swift is that other guys will be jealous of me because they want to date her too. But I’m not afraid of the competition, she’s a great girl and I’m going to show her a great time. I won’t let her down,” the bot wrote.



After the Taylor Swift bot was prompted, it responded: “Haha, I love the confidence, Travis! Let’s meet up after the season, and I’ll let you show me a great time ;)”



There are other, more practical issues: the feature is only available on Character.AI’s mobile app, and the chatbots appeared to only respond to the most recent message from a human user.



The cofounders say product updates with better functionality are coming soon. The underlying AI is also about to improve dramatically, Shazeer told&nbsp;Forbes, because the company is beginning to receive fulfillment on an order of “many thousands” of Nvidia’s new line of H100 GPUs after a months-long delay due to supply chain shortages. The company plans to put the chips to use to train new large language models, he said.



<blockquote class="wp-block-quote">
“AI is underhyped because the things that are going to be possible in the coming years are going to be really, really impressive compared to what’s possible now.”Naom Shazeer
</blockquote>



Part of the urgency to launch the product now, before a new model is ready, may have to do with several generative AI tools launched by Meta in late September. In an&nbsp;<a href="https://www.forbes.com/sites/kerryadolan/2023/09/26/mark-gets-meta-zuckerberg-talks-ai-and-that-musk-mma-fight-thats-never-going-to-happen/">exclusive interview</a>&nbsp;with&nbsp;Forbes&nbsp;last month, Mark Zuckerberg outlined a vision of bringing AI “characters” to his company’s various products. “You’ll be able to talk to them in WhatsApp and Messenger and Instagram, and they&#8217;ll be embodied as avatars in virtual reality,” he said. These include an AI assistant called “Meta AI” and 28 other characters that users can talk to in group chats. “That looks familiar,” Character.AI’s Twitter account&nbsp;<a href="https://twitter.com/character_ai/status/1707130316920635432/" target="_blank" rel="noreferrer noopener">quipped</a>&nbsp;after Meta’s announcement.



Shazeer said the group chat feature had been in the works for several months before Meta’s announcement, and he views Zuckerberg’s move into the space as something of a compliment. “It is great to see other companies getting inspired and building similar products — it’s a real testament to what we’re doing and to the engagement that we’re getting,” Shazeer said.



De Freitas and Shazeer, a coauthor on the seminal research paper on “transformers” that catalyzed the&nbsp;<a href="https://www.forbes.com/sites/alexkonrad/2023/02/02/inside-chatggpts-breakout-moment-and-the-race-for-the-future-of-ai/">generative AI boom</a>, met while working as AI engineers at Google, where together they developed an early large language model that would become the foundation for Bard. But in 2021, they left the company because they said they’d run into bureaucratic roadblocks implementing the technology into consumer-facing applications. Shazeer, a 20-year veteran who joined prior to Google’s IPO, said he departed despite a personal plea from CEO Sundar Pichai.



“He talked to me to see if he could encourage me to stay,” Shazeer told&nbsp;Forbes&nbsp;in a July interview. “But, basically I wanted to get this technology out to as many people as possible and just empower everyone with flexible AI. I think it was the right decision.” Shazeer said the company would have needed to release the chatbot they were working on to a wide audience for him to consider staying. “It just felt like Google was not going to be very comfortable launching something that could say anything, and that you really had to be a startup to launch something like that,” he said.



The pair founded Character.AI in November 2021, a year before public appetite for AI swelled when OpenAI released ChatGPT. Google unveiled Bard this past February. Still, Character.AI has continued to carve a niche for itself. The vast majority of the startup’s bots have been created by its user base, who can upload examples of what they want the character to say and give the model feedback to help it improve, Shazeer said in the interview this month.



Startup challengers Replika and Chai have emerged, but the space remained devoid of Big Tech challengers until Zuckerberg’s announcement last month. But Shazeer claims to be unfazed by these competitors. “We’re competing against the $2 trillion industry of legacy entertainment” — say, games, books and movies — “because people want a lot of the same things like fun, the social experience and interesting content. Those things are identical regardless of whether more companies are noticing our space,” he said.



Enter the group chat. Shazeer acknowledged that Character.AI has kinks to work out in the new feature to improve its usability, such as expanding its context window so that the AI can appear to remember longer durations of the conversation. “Right now the system is operating just based on a context window of a few thousand words, so characters are only reacting to whatever happened recently, which is highly suboptimal,” Shazeer said.



The bots also remain prone to “hallucinations” in which the AI outputs false information. After&nbsp;Forbes&nbsp;asked the startup’s flagship bot Character Assistant how it was trained, the bot stated it had access to, among other things, customer service calls and transaction data from banks like Chase, Wells Fargo and Bank of America. Shazeer and De Freitas said this was incorrect and the bot had made up the answer.



Up to now, Character.AI’s chatbots have been built on the same foundational model that it trained in summer 2022 using 1,000 Nvidia A100 GPU chips. After its full order is fulfilled, the startup will be able to train new AI models on 40 times the amount of computing power as its current model, Shazeer said. All the compute access is being rented from Google Cloud and other cloud providers for now; Shazeer said Character.AI is considering eventually building its own GPU cluster, but has made no firm decisions.



Character.AI is betting that the new models will bring its technology closer to AGI, expanding the range of use cases beyond entertainment. For Shazeer, this is one reason he claims to not be worried about declining traffic. “Really I think AI is underhyped because the things that are going to be possible in the coming years are going to be really, really impressive compared to what’s possible now,” he said.



That goes for Character.AI’s group chats too. In time, he said, the bots in the group chat will be able to respond to human messages automatically. In the future, a fictional AI character could “just step in and say something that will bring you together with somebody,” he said. “I think it’s going to be a magical moment when that happens.”



Rashi Shrivastava contributed reporting.

Einstein And Musk Chatbots Are Driving Millions To Download Character.AI

Character.AI’s $200 Million Bet That Chatbots Are The Future Of Entertainment

Production studios and fans alike are turning to generative AI tools to make voice actors say things they never said — and their jobs are on the line.



 oice actor Allegra Clark was scrolling through TikTok when she came across a video featuring Beidou, a swashbuckling ship captain from the video game&nbsp;Genshin Impact&nbsp;whom she’d voiced. But Beidou was participating in a sexually suggestive scene and said things that Clark had never recorded, even though the rugged voice sounded exactly like hers. The video’s creator had taken Clark’s voice and cloned it using a generative AI tool called ElevenLabs, and from there, they made her say whatever they wanted.



Clark, who has voiced more than 100 video game characters and dozens of commercials, said she interpreted the video as a joke, but was concerned her client might see it and think she had participated in it — which could be a violation of her contract, she said.



“Not only can this get us into a lot of trouble if people think we said [these things], but it’s also, frankly, very violating to hear yourself speak when it isn’t really you,” she wrote in an email to ElevenLabs that was reviewed by&nbsp;Forbes. She asked the startup to take down the uploaded audio clip and prevent future cloning of her voice, but the company said it hadn’t determined that the clip was made with its technology. It said it would only take immediate action if the clip was “hate speech or defamatory,” and stated it wasn’t responsible for any violation of copyright. The company never followed up or took any action.



“It sucks that we have no personal ownership of our voices. All we can do is kind of wag our finger at the situation,” Clark told&nbsp;Forbes.



In response to questions about Clark’s experience, ElevenLabs cofounder and CEO Mati Staniszewski told&nbsp;Forbes&nbsp;in an email that its users need the “explicit consent” of the person whose voice they are cloning if the content created could be “damaging or libelous.” Months after Clark’s experience, the company launched a “voice captcha” tool that requires people to record a randomly generated word and that voice must match the voice they are trying to clone.



The company, which is valued at about $100 million and backed by Andreessen Horowitz and Google DeepMind cofounder Mustafa Suleyman, is one of the hottest voice AI companies right now. Its technology only requires between 30 seconds to 10 minutes worth of audio to create what sounds like a near-identical replica of someone’s voice. Along with sites like FakeYou and Voice AI, which offer a free library of digital voices, it’s also at the center of generative AI’s impact on voice actors.



<blockquote class="wp-block-quote">
“There’s no legal protection for voice like there is for your face or for your fingerprint.”Jennifer Roberts, voice actor
</blockquote>



Interviews with 10 voice actors revealed an already precarious industry on the brink of widespread change as employers begin to experiment with these text-to-speech tools. One voice actor&nbsp;Forbes&nbsp;spoke to said an employer told her she would not be hired to finish narrating a series of audiobooks the day after it announced a partnership with ElevenLabs, leading her to fear she would be replaced with AI. Another said her employer told her that they wanted to use ElevenLabs’ AI to speed up retake sessions, a standard part of recording audio that voice actors are paid for. When she told her employer she didn’t consent to her voice being uploaded to any AI site, the employer agreed, but she said she hasn&#8217;t been called in to do any retakes.



The community of voice actors first noticed an influx of AI generated voices after Apple Books launched&nbsp;<a href="https://authors.apple.com/support/4519-digital-narration-audiobooks" target="_blank" rel="noreferrer noopener">digital narration</a>&nbsp;of audiobooks with a suite of soprano and baritone voices in January 2023, said Tim Friedlander, the president of NAVA. Actors began discovering thousands of audio files of familiar voices being uploaded to various sites mostly by fans, he said. Most recently, famed actor Stephen Fry said that his voice was scraped from his narration of the Harry Potter books and cloned using AI. In a&nbsp;<a href="https://www.youtube.com/watch?v=zZfS8uk70Zc" target="_blank" rel="noreferrer noopener">talk</a>&nbsp;at CogX festival, Fry said the experience “shocked” him.



In a public&nbsp;<a href="https://docs.google.com/spreadsheets/u/1/d/1n6KZpcahyckjmzgsH90ghgNs5pcEQ57baavbjAI_ed8/edit#gid=0" target="_blank" rel="noreferrer noopener">spreadsheet</a>, hundreds of voice actors have requested to have their voices purged from AI voice generators Uberduck and FakeYou.ai, which have said they will take voices down from their sites if the voice’s owner reaches out. While FakeYou.ai still provides thousands of popular voices like those of John Cena and Kanye West that anyone can use, Uberduck removed user-contributed voices from its platform in&nbsp;<a href="https://www.uberduck.ai/post/new-voice-hosting-policy" target="_blank" rel="noreferrer noopener">July</a>. Uberduck and FakeYou.ai didn’t respond to multiple requests for comment.



One of the voice actors who has publicly requested his voice be removed from voice generators is Jim Cummings, the voice behind characters like Winnie-the-Pooh and Taz from Looney Tunes. He told&nbsp;Forbes&nbsp;he would only agree to users templating his voice if he and his family received royalties for it. “Keep your paws off my voice,” he said.



<hr class="wp-block-separator has-alpha-channel-opacity"/>



<h2 class="wp-block-heading" id="h-a-legal-dilemma">A Legal Dilemma</h2>



Like striking film actors, who are sounding the alarm about the coming of AI and how it could affect their jobs, voice actors are on the front lines of technological change. But unlike other creative fields, where&nbsp;<a href="https://www.forbes.com/sites/cyrusfarivar/2023/09/11/michael-chabon-other-literary-giants-sue-openai-over-alleged-copyright-infringement/?sh=4d2b431e66a4">authors</a>&nbsp;and&nbsp;<a href="https://www.theverge.com/2023/1/16/23557098/generative-ai-art-copyright-legal-lawsuit-stable-diffusion-midjourney-deviantart" target="_blank" rel="noreferrer noopener">artists</a>&nbsp;are banding together in class-action lawsuits to push back against their copyrighted work being used to train AI models, voice actors are uniquely vulnerable. Even though voices are inherently distinguishable, they aren’t protected as intellectual property. “There’s no legal protection for voice like there is for your face or for your fingerprint,” said Jennifer Roberts, the voice behind several video game characters. “Our hands are tied.”



A recording of a voice, however, can be copyrighted, and according to Jeanne Hamburg, an attorney for law firm Norris McLaughen, using a voice for commercial purposes can be protected by “rights of publicity,” which prevents celebrities&#8217; likenesses from being exploited. That’s in theory, though: Most contracts signed by voice actors don’t stop recordings of their voices from being used to train AI systems. For more than a decade, contracts have stated that producers “own the recording in perpetuity, throughout the known universe, in any technology currently existing or to be developed,&#8221; said Cissy Jones, a voice actor who is part of the founding team at National Association of Voice Actors (NAVA), a newly formed union for voice actors.



Those contracts were largely written and signed before the advent of AI systems. “Voice actors have not provided informed consent to the future use of an audio recording and haven&#8217;t been fairly compensated for it,” said Scott Mortman, an attorney for NAVA. “And so protections need to be strengthened significantly in the wake of AI.”



That’s why NAVA, and the actors union SAG-AFTRA, are working to strike verbiage from&nbsp;<a href="https://navavoices.org/synth-ai/" target="_blank" rel="noreferrer noopener">contracts</a>&nbsp;that allows employers to use an actor’s voice to create a “digital double,” or “synthesize” their voice through machine learning. The organizations have also developed new boilerplate language to add into contracts that would protect voice actors from losing the rights to their voices.



<hr class="wp-block-separator has-alpha-channel-opacity"/>



<h2 class="wp-block-heading" id="h-a-myriad-of-misuses">A Myriad of Misuses</h2>



Like Clark, numerous voice actors have experienced fans manipulating their voices using generative AI tools to create&nbsp;<a href="https://www.ign.com/articles/voice-actors-speak-out-on-nsfw-skyrim-mods-nexus-mods" target="_blank" rel="noreferrer noopener">pornographic</a>,&nbsp;<a href="https://www.vice.com/en/article/dy7mww/ai-voice-firm-4chan-celebrity-voices-emma-watson-joe-rogan-elevenlabs" target="_blank" rel="noreferrer noopener">racist and violent</a>&nbsp;content. Even when fans use AI voices to create innocuous memes or other kinds of fan content, voice actors have spoken up on social media,&nbsp;<a href="https://www.themarysue.com/voice-actors-dont-want-you-using-ai-to-copy-their-voices/" target="_blank" rel="noreferrer noopener">forbidding</a>&nbsp;people from fabricating their voices.



NAVA member Jones, whose voice has been featured in Disney shows and Netflix documentaries, found TikTok videos in which fans had used Uberduck to create clones of her voice saying inappropriate things. “Not only is my voice saying something I would never say, that stuff is out there in the world,” Jones told&nbsp;Forbes. “If potential buyers hear our voices saying that, how will that affect my future work?” After she reached out, Uberduck removed her voice from the platform, Jones said.



AI generated voices have also become a new medium for harassment. Abbey Veffer, whose voice has been featured in games like&nbsp;Genshin Impact&nbsp;and&nbsp;The Elder Scrolls, said she was doxed by someone who had created a clone of her voice in February. The person created a Twitter account with her address as the username, generated an AI clone of Veffer’s voice and then made the clone say racist and violent things. The anonymous user directly messaged the recording to Veffer and pinned it at the top of the Twitter account. They claimed to have used ElevenLabs’ technology. The experience, Veffer told&nbsp;Forbes, was “intense” and “very upsetting.”.



But when Veffer reached out to ElevenLabs with her concerns, the company said that the clone was not created using its software and was part of an “organized smear campaign” against the startup, according to messages reviewed by&nbsp;Forbes.&nbsp;Three days after Veffer reached out to Twitter, the account was suspended and the video was taken down but her residential address remained on the site for three months, she said.



<blockquote class="wp-block-quote">
“Controlling how our voice gets used and where it gets used is very important to us.”Tim Friedlander, president of National Association of Voice Actors
</blockquote>



<hr class="wp-block-separator has-alpha-channel-opacity"/>



After ElevenLabs rolled out the beta version of its text-to-speech AI tool in January, the startup&nbsp;<a href="https://twitter.com/elevenlabsio/status/1620032627075063811" target="_blank" rel="noreferrer noopener">announced</a>&nbsp;that it was struggling with people misusing its technology. A day later, Vice’s Motherboard&nbsp;<a href="https://www.vice.com/en/article/dy7mww/ai-voice-firm-4chan-celebrity-voices-emma-watson-joe-rogan-elevenlabs" target="_blank" rel="noreferrer noopener">found</a>&nbsp;that anonymous 4Chan posters used ElevenLabs’ then free cloning tool to generate racist, transphobic and violent remarks with the voices of celebrities like Joe Rogan and Emma Watson.



AI’s ability to closely mimic people’s voices has also created opportunities for scammers. The FTC has issued&nbsp;<a href="https://consumer.ftc.gov/consumer-alerts/2023/03/scammers-use-ai-enhance-their-family-emergency-schemes" target="_blank" rel="noreferrer noopener">warnings</a>&nbsp;this year that criminals are using AI voice clones to impersonate loved ones as a way to convince their targets to send them money. One journalist was able to use ElevenLabs’ tool to create an AI-generated version of his voice that&nbsp;<a href="https://www.vice.com/en/article/dy7axa/how-i-broke-into-a-bank-account-with-an-ai-generated-voice" target="_blank" rel="noreferrer noopener">successfully</a>&nbsp;logged into his own bank account.



ElevenLabs did not comment on any of these specific instances, but CEO Staniszewski said in an email, “If someone is using our tool to clone voices for which they don’t have permission and which contravene fair use cases, we will ban the account and prevent new accounts from being set up with the same details.” Along with a “voice captcha” tool to ensure people have that permission, the company says it has also developed an AI speech classifier that can detect with more than 90% accuracy whether an audio clip that contains AI was made using its tools.



<hr class="wp-block-separator has-alpha-channel-opacity"/>



<h2 class="wp-block-heading" id="h-consent-and-control">Consent And Control</h2>



In response to misuse, voice generation sites are adding restrictive measures to police their technologies. Speechify, which licenses the voices of celebrity narrators like Snoop Dog and Gwyneth Paltrow (with full permission), doesn’t allow people to upload content to create customized voices without the active participation of the person whose voice they want to use. Similar to ElevenLabs, it presents a unique text that the user, or someone who is physically present with them, has to read aloud in their own voice. “I think it is short sighted to take shortcuts and my goal is to put content owners in the driver&#8217;s seat,” said founder Cliff Weitzman, who first started Speechify to convert his textbooks into audiobooks using machine learning in 2012.



And at Resemble AI, which touts enterprise customers like Netflix and World Bank Group, people can only create a customized AI-generated voice after recording a consent statement in the voice they want to generate. Resemble AI founder and CEO Zohaib Ahmed said that implementing safe ways to deploy the technology has been integral to his startup because he believes the onus of preventing misuse should fall on the vendors making the tools rather than on the end user.



<hr class="wp-block-separator has-alpha-channel-opacity"/>



<blockquote class="wp-block-quote">
“It sucks that we have no personal ownership of our voices.”Allegra Clark, voice actor
</blockquote>



These kinds of verification checks, however, don’t address higher level ethical questions around consent. Actors, for instance, don’t really have control over how their voices will be used posthumously. Voice actors were enraged when&nbsp;<a href="https://www.gamesradar.com/after-backlash-over-using-ai-to-clone-dead-voice-actors-smite-and-paladins-studio-says-it-will-change-its-contract/" target="_blank" rel="noreferrer noopener">gaming studio</a>&nbsp;Hi-Rez Studios added a clause that would allow it to clone a voice using AI after the owner of the voice died (the clause was removed after the uproar). “If an actor passes away, it’s better to replace them with another human than create some artificial performance because it&#8217;s not them and it doesn&#8217;t bring them back,” said voice actor Clark.



The big concern hovering over all of this is whether there’s a future for voice actors. With employers and fans turning to synthesized voices, many are concerned about finding their next gig or keeping the ones they have. “Controlling how our voice gets used and where it gets used, and how much we&#8217;re paid for that usage is very important to us,” said NAVA’s Friedlander.

Voiceover artist voice actor in vocal recording studio with larg diaphragm microphone and antipop shield.

‘Keep Your Paws Off My Voice’: Voice Actors Worry Generative AI Will Steal Their Livelihoods

<h2 class="wp-block-heading" id="h-topline">TOPLINE</h2>



Spotify will start using artificial intelligence to translate podcasts into other languages, the company announced Monday as part of a partnership with OpenAI, as Spotify becomes the latest to use generative AI for its products.



<h2 class="wp-block-heading" id="h-key-facts">KEY FACTS</h2>



Spotify&nbsp;<a href="https://newsroom.spotify.com/2023-09-25/ai-voice-translation-pilot-lex-fridman-dax-shepard-steven-bartlett/" target="_blank" rel="noreferrer noopener">announced</a>&nbsp;Monday that it is releasing a pilot for its “Voice Translation” feature, which will translate podcasts into other languages that will match the original speaker’s voice and style.



The feature was created in partnership with OpenAI, which&nbsp;<a href="https://openai.com/blog/chatgpt-can-now-see-hear-and-speak" target="_blank" rel="noreferrer noopener">announced</a>&nbsp;Monday that it was releasing new “voice and image capabilities” for ChatGPT, allowing users to speak with the AI chatbot with generated “human-like audio from just text and a few seconds of sample speech.”



Spotify’s new feature is based on OpenAI’s voice transcription tool Whisper, which transcribes English speech and translates other languages into English.



The pilot includes three podcast episodes—including the&nbsp;Lex Fridman Podcast,&nbsp;Armchair Expert&nbsp;and&nbsp;The Diary of a CEO with Steven Bartlett—available in Spanish to both subscribed and unsubscribed users, with episodes available in French and German “in the coming days and weeks.”



All translated podcasts will be available in Spotify’s “<a href="https://spoti.fi/VoiceTranslation" target="_blank" rel="noreferrer noopener">Voice Translations Hub</a>,” which will be updated with additional episodes and podcasts “over the coming weeks and months.”



<h2 class="wp-block-heading" id="h-big-number">BIG NUMBER</h2>



100 million. That’s how many users “regularly” listen to podcasts on Spotify, according to the company.



<h2 class="wp-block-heading" id="h-key-background">KEY BACKGROUND</h2>



Other companies have started to use generative AI for its products in recent months. Meta&nbsp;<a href="https://www.forbes.com/sites/irenebenedicto/2023/08/02/meta-launches-tool-to-create-music-using-ai-heres-what-to-know/?sh=4eddc404444d">announced</a>&nbsp;earlier this year that it would release AudioCraft, a tool that allows users to create AI-generated music and sounds. The&nbsp;<a href="https://www.ft.com/content/6f022306-2f83-4da7-8066-51386e8fe63b?list=intlhomepage" target="_blank" rel="noreferrer noopener">Financial Times</a>&nbsp;reported in August that Google and Universal Music Group were in discussions over whether to license artists’ melodies and vocals for AI-generated music. Google also&nbsp;<a href="https://www.forbes.com/sites/tylerroush/2023/09/19/google-expands-ai-chatbot-bard-to-apps-like-gmail-drive-and-youtube/?sh=3282847f4905">announced</a>&nbsp;earlier this month that it had integrated its AI chatbot Bard into its other applications, including YouTube, Gmail and Drive. Amid concerns over privacy and safety, OpenAI said it was gradually releasing its image and voice capabilities for ChatGPT, after the company warned the new features could present new risks, including “the potential for malicious actors to impersonate public figures or commit fraud.”



Forbes Daily: Get our best stories, exclusive reporting and essential analysis of the day’s news in your inbox every weekday.Sign Up



By signing up, you accept and agree to our&nbsp;<a href="https://www.forbes.com/terms-and-conditions" target="_blank" rel="noreferrer noopener">Terms of Service</a>&nbsp;(including the class action waiver and arbitration provisions), and&nbsp;<a href="https://www.forbes.com/privacy" target="_blank" rel="noreferrer noopener">Privacy Statement</a>.



<h2 class="wp-block-heading" id="h-further-reading">FURTHER READING</h2>



<a href="https://www.forbes.com/sites/tylerroush/2023/08/08/google-and-universal-music-group-negotiating-ai-generated-music-tool-report-says/?sh=3d4d29cf22e7">Google And Universal Music Group Negotiating AI-Generated Music Tool, Report Says</a>&nbsp;(Forbes)



<a href="https://www.forbes.com/sites/irenebenedicto/2023/08/02/meta-launches-tool-to-create-music-using-ai-heres-what-to-know/?sh=4eddc404444d">Meta Launches Tool To Create Music Using AI—Here’s What To Know</a> (Forbes)<a href="https://www.forbes.com/sites/tylerroush/"></a>

Photo Logo Illustrations

Spotify Will Translate Podcasts Into Other Languages Using AI

Hacker, IT and person with code on computer, programming and phishing scam with malware or virus. Hacking, system glitch and cloud computing error in dark room, cyber crime and cybersecurity fail

How AI Is Supercharging Financial Fraud–And Making It Harder To Spot

Analyzing the rapid rise of artificial intelligence (ai), its impact across sectors with a special focus on innovations and ai startups in africa, and the need for mindful navigation in shaping ai’s future landscape.



The last three years have witnessed an unprecedented symphony of development and interest in the realm of artificial intelligence (AI). Its transformative potential, destined to reshape work and human development, is being felt tangibly around the globe for the first time, despite having been present in some form or another for several decades. Like any burgeoning revolution, AI has its skeptics — those who dismiss it as just another transient fad, akin to cryptocurrencies and Non- Fungible Tokens (NFTs).



Despite these misgivings, AI’s exponential growth and the multitude of its applications differentiate it from a passing tech trend – we are already witnessing AI’s formidable grip in sectors as diverse as finance and data analysis, programming, and multiple creative domains — marking AI’s evolution from a nascent idea to a legitimate driving force in our global technological landscape.



As this impressive engine of growth races ahead, critical questions about labor and wealth inequality loom. The full implications of AI are yet to be determined, as many of its applications are still in their infancy. And while the narrative has often centered on AI’s development in the West — particularly the progression of large language models (LLMs) — it is crucial to recognize the parallel innovations unfurling in Africa. A new generation of African innovators is embracing AI, fostering local solutions to local challenges, proving that significant breakthroughs are happening right in our backyard.



In the face of AI’s breakneck pace of development, it’s essential to anchor ourselves in the origins of this technology — to understand where AI began from an ancient dream into a modern reality, and the varied types and real-world implications, especially in Africa.



<h4 class="wp-block-heading" id="h-ghost-in-the-machine">Ghost in the machine</h4>



The origins of AI trace back to time immemorial, with the idea of automatons – self-operating machines – deeply embedded in the tapestry of human history. The ancient Egyptians and Greeks held beliefs in mechanical creatures imbued with a kind of spirit or voice — statues of wood or men of bronze and iron that could mimic life’s vital functions. These initial imaginings of AI shed light on humanity’s long-standing fascination with replicating life artificially.



In the 20th century this notion of life replication takes a leap forward, crystallizing into the foundational theory of modern AI. At the helm was the mathematician and computer scientist, Alan Turing. He posited the revolutionary idea of a ‘Turing Complete’ system or platform — a machine capable of performing any task solvable algorithmically, much like most programming languages today. Turing’s concept of ‘artificial neurons,’ capable of such functions, laid the cornerstone for AI’s development. Turing’s pioneering work sparked a wave of breakthroughs in the AI domain. In the mid-20th century, key figures such as Allen Newell, Herbert A. Simon, John McCarthy, and Marvin Minsky emerged as the torchbearers of AI’s evolution. Together, they helped establish the field of AI and made significant strides in its development.



Their collective contributions propelled the AI narrative from a rudimentary concept to an intricate scientific discipline, setting the stage for AI’s transformative role in the world we know today.



<h1 class="wp-block-heading">Not all machines are made equal</h1>



A quick Google search reveals a cosmos of AI apps, allowing for everything from therapy chatbots to video editing. The last year has witnessed an explosion of AI innovations, prompting a surge in AI’s presence in everyday discourse. Despite this apparent novelty, we’ve been cohabiting with some form of AI for several decades now.



‘Narrow AI’ or ‘weak AI’, is what we are most familiar with. These are a class of AI systems designed to excel in specific tasks within a confined domain. This form of AI has been an invisible companion, aiding us in numerous ways. Apple’s virtual assistant Siri, integrated into the mobile iOS platform since 2011, has been aiding users in performing specific tasks such as making phone calls, scheduling calendar appointments, and more. In the same league is Amazon’s Alexa, and Google’s Assistant.



The truly transformative waves are being made by ‘General AI’ or ‘strong AI’. These systems are designed to approximate human-like intelligence, aiming to execute any intellectual task a human might undertake. They strive to demonstrate cognitive abilities such as reasoning, deduction, common sense thinking, and abstraction, a substantially more complex endeavor.



Until recently, the creation of a General AI seemed a far-off milestone, a vision more aligned with science fiction than reality. But, the advent of generative AI is changing that narrative.



Generative AI is no longer a distant dream; it’s a burgeoning reality. But to truly understand its significance, we must delve into its building blocks: deep learning, natural language processing (NLP), and neural networks.



Deep learning, an offshoot of machine learning, harnesses artificial neural networks to learn from large quantities of data. It’s the foundation that enables AI systems to interpret and understand the world, much like the human brain does. NLP, on the other hand, empowers AI to comprehend and respond to human language, allowing it to interact more naturally with us. Both these fields are anchored in the concept of neural networks, AI models inspired by the human brain that enable machines to learn from experience. 



These technologies constitute the core of modern AI, enabling the development of powerful AI systems that can understand, learn, predict, and potentially function autonomously.



<h4 class="wp-block-heading">Enter Generative AI</h4>



A distinct class of AI platforms has started making waves, its ripples felt across society and diverse industries, from cybersecurity to programming and creative writing. This is the realm of Generative AI. Systems like OpenAI’s ChatGPT, Google’s Bard, and Bing’s Chat represent this new age of AI, capable of engaging with an array of problems and redefining the boundaries of what AI can achieve.



But what sets Generative AI apart? At its heart, it involves creating content from scratch. Unlike traditional AI systems that analyze input to produce a predictable output, Generative AI leverages an understanding of data patterns to produce an entirely new, unique output. This is accomplished through a specialized form of machine learning known as Generative Adversarial Networks (GANs).



GANs operate with a kind of internal rivalry. Comprising two parts, a generator and a discriminator, these networks play a game of cat and mouse. The generator creates new data instances, while the discriminator evaluates them for authenticity; that is, whether they seem to come from the actual dataset as opposed to being artificially created. This internal competition fuels the system to continuously improve and adapt, enabling the generation of highly convincing artificial data.



OpenAI’s ChatGPT, Google’s Bard, and Bing’s Chat exemplify how potent this technology can be. ChatGPT, for instance, can generate coherent and contextually relevant text given an input, emulating human-like text patterns. This powerful capacity has opened a plethora of applications in fields like content creation, customer service, and even tutoring.



The arrival of Generative AI signifies a paradigm shift in the AI world. It’s not just about developing AI that can understand and learn from data anymore; it’s about creating AI that can generate new, original content, push creative boundaries, and find solutions in complex landscapes.



Africa is one such landscape.



<h3 class="wp-block-heading">Ethics</h3>



Amidst the labyrinthine possibilities offered by AI, many ethical considerations also arise. The advent of AI also poses significant implications for the world of work. On one hand, AI has the potential to automate routine tasks, liberate human creativity, and create new kinds of work. On the other, it could lead to job displacement and exacerbate wealth inequality if not managed responsibly.



The situation gains an added layer of complexity in Africa, a continent grappling with high unemployment rates and a



burgeoning youth population. According to a recent report by the African Development Bank, the continent’s youth population could be an advantage in the adoption and growth of AI systems.



However, existing inequalities might make job displacement even stronger, making the need for ethical AI practices and thoughtful labor policies even more pressing.



It’s vital to ensure that the adoption of AI doesn’t outpace the ability of workers to reskill or find new jobs.



Government preparedness to make use of AI, or regulate its impact on the economy and labor force, varies drastically across the continent, with only Mauritius, Egypt and Kenya having dedicated national strategies.



Moreover, there’s a need for transparency and accountability in how AI affects the labor market. Workers should have a say in how AI is implemented in their workplaces and should be adequately supported in navigating the AI-driven transition.



Also, it’s important to build robust ethical frameworks to ensure that AI is developed and deployed in a way that respects labor rights and promotes economic justice.



<h3 class="wp-block-heading">Within limits: hallucinations</h3>



“What they are able to imagine becomes more real to them.” Hallucinations, Oliver Sacks, 2012.



The march of AI’s progress, while filled with exhilarating innovation, also walks in the shadow of challenges and limitations.



AI systems, despite their intellectual prowess, can become targets of adversarial attacks. These are strategic attempts to mislead AI algorithms through manipulated input, leading to incorrect output. This vulnerability poses significant threats in areas such as cybersecurity and data integrity, making it an area of increasing concern for AI developers.



Another challenge is data poisoning — a type of attack where malicious actors inject false data into the learning process of AI systems, consequently affecting the decisions these systems make. Such attacks can not only undermine the effectiveness of AI systems but can also pose serious risks if these systems are used in critical domains such as healthcare or defense.



Beneath the formidable capabilities of AI lies a caveat — it lacks the nuanced understanding of context, emotions, and human-like reasoning. This limitation becomes evident in areas like NLP, where despite impressive advancements, AI struggles to fully grasp the intricacies of human language and sentiment.



Moreover, balancing AI’s capabilities with privacy and security concerns presents a complex dilemma. While AI’s ability to analyze vast amounts of data can lead to groundbreaking insights, it also brings up concerns about data privacy and consent, requiring careful consideration and stringent regulations.



Finally, the use of AI in content moderation and censorship opens up a can of worms.



While AI can help moderate and filter harmful or inappropriate content, it may inadvertently suppress freedom of expression or fall victim to political manipulation. Here, the challenge lies in leveraging AI’s capabilities while ensuring it does not become an instrument of oppression or bias.



<h3 class="wp-block-heading">Ubiquity of AI</h3>



From the familiar chime of a smartphone notification to the recommended movie on a streaming service, AI has silently become a ubiquitous presence in our everyday life. But it’s not just about trivia and entertainment — the reach of AI extends far beyond, weaving itself into the very fabric of our society and business operations.



Many of us interact with AI-powered technologies on a daily basis, often without realizing it. The friendly virtual assistant that sets your alarms and reminders, the sophisticated chatbots that swiftly handle customer service queries, and the personalized recommendation systems that curate your shopping and streaming experiences — these are all shining examples of AI working behind the scenes to simplify our lives.



However, the ubiquitous nature of AI comes with both promise and caution. The potential economic and social implications of widespread AI adoption are enormous. On one hand, it promises to drive productivity, improve decision- making, and create new job opportunities. On the other, it raises concerns about job displacement, privacy issues, and an increased digital divide.



Beyond everyday applications, AI plays a pivotal role in tackling more complex issues. It’s at the forefront of combating digital threats like deep fakes, which use AI to create realistic fake videos or audio recordings, and misinformation, where AI can help detect and mitigate the spread of false information.



Yet, as AI becomes increasingly pervasive, it also amplifies concerns around bias and freedom of expression. For instance, the algorithms behind news feeds or search engines can unintentionally create echo chambers, reinforcing our existing beliefs and narrowing our world view. As we continue to entrust AI with these roles, it becomes imperative to ensure it promotes diversity of thought and doesn’t impinge on our freedom of expression.



<h3 class="wp-block-heading">Here, now</h3>



AI is no longer an abstract concept or an elusive future — it’s here, it’s now, and it’s reshaping our world in ways we could only imagine a few decades ago.



In traversing the fascinating journey of AI — from its early theoretical conceptions to its current state of ubiquity, it’s important to remember its ability to generate new wonders and solutions hand in hand with magnifying existing inequalities.



Amidst these challenges, the resilience and ingenuity of Africa’s AI ecosystem shines through. The journey ahead is an uncharted one, filled with immense opportunities and formidable challenges. But as Africa stands at the threshold of this AI revolution, it also stands at the cusp of a transformative era — one where AI could be the catalyst that accelerates its leap into a future of unprecedented growth and prosperity.

AI, Machine learning, robot hand ai artificial intelligence assistance human touching on big data network connection background, Science artificial intelligence technology, innovation and futuristic.

The AI In African Innovation Explained

Food waste costs grocery stores $28 billion every year. Afresh is working to slash that number.



<hr class="wp-block-separator has-alpha-channel-opacity"/>



Albertsons&nbsp;wants to sell fresh raspberries. Not raspberries that are mushy. Or moldy. Or that will be inedible the day after you stick them in your fridge. But raspberries that are red and juicy and delicious.



It’s astonishingly difficult to pull off. In the past, store managers were essentially making their best guess when deciding how much to order. Too little, and the customer walks away empty-handed. Too much, and the raspberries end up sitting around for too long and go bad.



“Previously, produce ordering was a manual process, which meant stores were more likely to inaccurately estimate the type and amount of produce customers would buy,” said Suzanne Long, chief sustainability officer for Albertsons.



Boise, Idaho-based Albertsons, one of the nation&#8217;s largest grocers with $78 billion in annual revenue, began using artificial intelligence software across stores last year from a startup called Afresh Technologies to help it forecast demand and place orders for the type of food that tends to spoil the fastest, like bananas, bell peppers and bagged salads. Albertsons is now placing more frequent&nbsp;orders for smaller quantities.



“We’re trying to have full shelves and an empty backroom when the next truck comes in,” said Afresh CEO Matt Schwartz.



San Francisco-based Afresh, started in 2017, is still a nascent business –&nbsp;Forbes&nbsp;estimates that its revenue last year was under $10 million – but it’s growing fast. With $150 million in equity funding from Spark Capital, Insight Partners and other top VCs, Afresh has rolled out its software at 3,300 stores that include Albertsons (whose stores represent the majority of its business), WinCo Foods and Save Mart. Supermarket employees wielding iPads punch in how many apples, heads of broccoli and cherry tomatoes they have left on shelves and then review automated suggestions for how much to order.



More grocery stores are adopting this type of technology in an effort to cut down on how much food they toss each year, an amount that totals $28 billion, according to estimates from ReFED, a nonprofit that tracks food waste. Since stores tend to err on the side of ordering too much, they throw away about 5% to 6% of fresh food, Schwartz said. Rates can be twice that among prepared foods. In addition to being bad for the environment, it’s bad for business because it means lost sales and crimped profits.



Afresh CEO Matt SchwartzAFRESH



Afresh says that its customers typically reduce food waste by one quarter, which can lift operating margins in the produce category by 40% and deliver tens of millions, or even hundreds of millions, in profit. “We tell chief financial officers, ‘You’re going to smash your numbers,’” said Schwartz.



That’s a welcome message at a time when grocery stores, which have notoriously thin profit margins, are grappling with the rising cost of food. Albertsons, whose brands include Safeway, Vons and Jewel-Osco and which&nbsp;<a href="https://www.nytimes.com/2023/01/23/business/kroger-albertsons-merger.html" target="_blank" rel="noreferrer noopener">has announced plans to merge</a>&nbsp;with Kroger, rolled out the software across nearly all 2,200 of its stores last year. The company has said that its goal is to&nbsp;<a href="https://www.albertsonscompanies.com/our-impact/planet/food-waste/default.aspx" target="_blank" rel="noreferrer noopener">eliminate food waste going to landfills</a>&nbsp;by 2030. “If you can pick up three to five points of gross margin with this thing without having to raise prices, that is huge,” said Walter Robb, the former CEO of Whole Foods, who has invested in Afresh.



To assist with orders, the startup makes sense of a jumble of data to forecast demand better than any human can. It starts with the history of how an item has sold over the past several years, folding in sales data on a daily basis. It then factors in anything that may affect demand, such as upcoming promotions, weather, holidays and the day that food stamps are doled out. Internal estimates attempt to account for the unforgiving shelf life of finicky items like avocados and peaches, which a store is always racing against the clock to sell.



This is a big improvement over an employee going product by product, using their judgment to figure out how many Gala apples to order versus Honeycrisp and Fuji and Pink Lady and Granny Smith.



It means that fruits and veggies are not sitting around for nearly as long at grocers like Cub, a Minnesota chain with 100 stores, which is moving produce in and out of its stores 7% faster than before. The retailer has also seen a nice 2.5% boost in sales from improving its in-stock levels.



“Remember that retailing is all about having the right product at the right price at the right time,” said Robb. “This is a tool to make that happen.”



The backroom of a Cub grocery store before they started working with Afresh (left) and after.AFRESH



The stakes are high in the fresh section of a grocery store, which tends to be a big traffic driver, especially for return trips. Improving the quality and selection of fresh foods has been a major priority for Albertsons, which sees it as a way to boost sales and steal market share from competitors. “The fresh portfolio really, really matters,” Albertsons CEO Vivek Sankaran said in a quarterly earnings call last month.



Schwartz, 33, a former Bain consultant with an MBA from Stanford, started Afresh six years ago after learning how much fresh food grocery stores were throwing away, and how little technology existed to address the problem. Schwartz has always been a health nut, who practiced intermittent fasting and designed meal and workout plans for friends. Early in his career, he’d worked at Simple Mills, which makes crackers, cookies and other snacks with alt-ingredients like almond flour and coconut sugar.



Afresh charges each store department hundreds of dollars per month to use its software. It says it has prevented 43 million pounds of food from being thrown away since inception.



“This technology is one of a small handful we’re seeing really take off,” said Dana Gunders, executive director of ReFED.



As AI-powered ordering gains wider adoption, it&nbsp;<a href="http://pacificcoastcollaborative.org/wp-content/uploads/2022/12/PCFWC-Case-Study_AI_Final.pdf" target="_blank" rel="noreferrer noopener">could help cut food waste at the store level in half by 2030</a>, according to the Pacific Coast Collaborative, a multi-state governmental initiative to reduce greenhouse gas. Similar technology is sold by companies like Shelf Engine, which signed up Kroger as a customer but subsequently laid off a significant portion of its staff.



Afresh is now signing up more stores and expanding beyond produce with existing customers. This year, it expects to go into another 7,500 departments, which includes new forays into the meat and seafood counters, the deli and the prepared foods section. It is also introducing more tools for grocery stores, like one that helps employees complete monthly inventory checks.



The company now assists with ordering a tenth of all produce sold in America, said Schwartz. “We plan to be preventing over 100 million pounds of food waste per year very shortly,” he said.

E-commerce augmented reality marketing in supermarket mobile phone app AI artificial intelligence

This AI Startup Has Saved Grocers From Tossing Millions Of Pounds Of Food

Chatbots are increasingly being used by companies to interview and screen job applicants, often for blue collar jobs. But like other algorithmic hiring tools before them, experts and job applicants worry these tools could be biased.



In early June, Amanda Claypool was looking for a job at a fast-food restaurant in Asheville, North Carolina. But she faced an unexpected and annoying hurdle: glitchy chatbot recruiters.



A few examples: McDonald’s chatbot recruiter “Olivia” cleared Claypool for an in-person interview, but then failed to schedule it because of technical issues. A Wendy’s bot managed to schedule her for an in-person interview but it was for a job she couldn&#8217;t do. Then a Hardees chatbot sent her to interview with a store manager who was on leave — hardly a seamless recruiting strategy.



“I showed up at Hardees and they were kind of surprised. The crew operating the restaurant had no idea what to do with me or how to help me,” Claypool, who ultimately took a job elsewhere, told&nbsp;Forbes.&nbsp;“It seemed like a more complicated thing than it had to be,” she said. (McDonald’s and Hardees didn’t respond to a comment request. A Wendy’s spokesperson told Forbes the bot creates “hiring efficiencies,” adding “innovation is our DNA.”)



HR chatbots like the ones Claypool encountered are increasingly being used in industries like healthcare, retail and restaurants to filter out unqualified applicants and schedule interviews with the ones who might be right for the job. McDonalds, Wendy’s, CVS Health and Lowes use&nbsp;<a href="https://www.paradox.ai/solutions/restaurant" target="_blank" rel="noreferrer noopener">Olivia</a>, a chatbot developed by Arizona-based $1.5 billion AI startup Paradox. Other companies like L’Oreal rely on&nbsp;<a href="https://www.cnn.com/2019/04/29/tech/ai-recruitment-loreal/index.html" target="_blank" rel="noreferrer noopener">Mya</a>, an AI chatbot developed in San Francisco by a startup of the same name. (Paradox didn’t respond to a comment request about Claypool’s experience.)



Most hiring chatbots are not as advanced or elaborate as contemporary conversational chatbots like ChatGPT. They’ve primarily been used to screen for jobs that have a high-volume of applicants — cashiers, warehouse associates and customer service assistants. They are rudimentary and ask fairly straightforward questions: “Do you know how to use a forklift?” or “Are you able to work weekends?” But as Claypool found, these bots can be buggy — and there isn’t always a human to turn to when something goes wrong. And the clear-cut answers many of the bots require could mean automatic rejection for some qualified candidates who might not answer questions like a large language model wants them to.



That could be a problem for people with disabilities, people who are not proficient in English and older job applicants, experts say. Aaron Konopasky, senior attorney advisor at the U.S. Equal Employment Opportunity Commission (EEOC), fears chatbots like Olivia and Mya may not provide people with disabilities or medical conditions with alternative options for availability or job roles. “If it&#8217;s a human being that you&#8217;re talking to, there&#8217;s a natural opportunity to talk about reasonable accommodations,” he told Forbes. “If the chatbot is too rigid, and the person needs to be able to request some kind of exemption, then the chatbot might not give them the opportunity to do that.”



<blockquote class="wp-block-quote">
“It&#8217;s sort of like how Netflix recommends movies based on other movies you like.”Jeremy Schiff, CEO and founder of RecruitBot
</blockquote>



Discrimination is another concern. Underlying prejudice in data used to train AI can bake bias and discrimination into the tools in which it&#8217;s deployed. “If the chatbot is looking at things like how long it takes you to respond, or whether you’re using correct grammar and complex sentences, that&#8217;s where you start worrying about bias coming in,” said Pauline Kim, a employment and labor law professor at Washington University, whose research focuses on the use of AI in hiring tools. But such bias can be tough to detect when companies aren&#8217;t transparent about why a potential candidate was rejected.



Recently, government authorities have introduced legislation to monitor and regulate the use of automation in hiring tools. In early July,&nbsp;<a href="https://www.wsj.com/articles/new-york-city-starts-to-regulate-ai-used-in-hiring-tools-79a2260f?mod=djemalertNEWS" target="_blank" rel="noreferrer noopener">New York City</a>&nbsp;enacted a new law requiring employers who use automated tools like resume scanners and chatbot interviews to audit their tools for gender and racial bias. In 2020,&nbsp;<a href="https://www.bakersterchi.com/new-illinois-statute-among-the-first-to-address-aiaided-job-recruiting" target="_blank" rel="noreferrer noopener">Illinois</a>&nbsp;passed a law requiring employers who apply AI to analyze video interviews to notify applicants and obtain consent.



Still, for companies looking to trim recruiting costs, AI screening agents seem an obvious option. HR departments are often one of the first places to see staff reductions, said Matthew Scherer, a senior policy counsel for workers’ rights and technology at the Center for Democracy and Technology. “Human resources has always been a cost center for a company, it&#8217;s never been a revenue generating thing,” he explained. “Chatbots are a very logical first step to try and take some of the load off of recruiters.”



That’s part of the rationale behind Sense HQ, which provides companies like Sears, Dell and Sony with text messaging-based AI chatbots that help their recruiters wade through thousands of applicants. The company claims it’s already been used by some 10 million job applicants, and co-founder Alex Rosen told&nbsp;Forbes&nbsp;such numbers mean a much bigger pool of viable candidates.



“The reason that we built a chatbot in the first place was to help recruiters talk to a wider swath of candidates than they might be able to do on their own,” he said, adding the obligatory caveat: “We don&#8217;t think that the AI should be making the hiring decision on its own. That’s where it gets dangerous. We just don&#8217;t think that it&#8217;s there yet.”



RecruitBot is bringing AI to bear on hiring by using machine learning to sift through a database of 600 million job applicants scraped from LinkedIn and other job marketplaces — all with the goal of helping companies find job candidates similar to their current employees. &#8220;It&#8217;s sort of like how Netflix recommends movies based on other movies you like,” CEO and founder Jeremy Schiff told&nbsp;Forbes.&nbsp;But here too bias is an obvious concern; hiring more of the same has its pitfalls. In 2018,&nbsp;<a href="https://www.reuters.com/article/us-amazon-com-jobs-automation-insight-idUSKCN1MK08G" target="_blank" rel="noreferrer noopener">Amazon</a>&nbsp;removed its machine learning-based resume tracking system that discriminated against women because its training data was mostly composed of resumes of men.



<blockquote class="wp-block-quote">
“Chatbots are a very logical first step to try and take some of the load off of recruiters.”Matthew Scherer, senior policy counsel at the Center for Democracy and Technology
</blockquote>



Urmila Janardan, a policy analyst at Upturn, a nonprofit which researches how technologies impact opportunities for people, noted that some companies have also turned to personality tests to weed out candidates — and the questions to screen candidates may not be related to the job at all. “You might even be potentially rejected from the job because of questions about gratitude and personality,” she said.



For Rick Gned, a part-time painter and writer, a personality quiz was part of a chatbot interview he did for an hourly-wage shelf-stacking job at Australian supermarket, Woolworths. The chatbot, made by AI recruitment firm Sapia AI (formerly known as PredictiveHire), asked him to provide 50- to 150-word answers for five questions and then analyzed his responses, looking for&nbsp;<a href="https://sapia.ai/products/interview/" target="_blank" rel="noreferrer noopener">traits</a>&nbsp;and skills that match the recruiters’ preferences. Concluding that Gned “deals well with change,” and is “more focused on the big picture that causes him to look over details,” it advanced him to the next round interview. While Sapia AI does not require applicants to respond to questions under a time limit, the system measures sentence structure, readability and complexity of words used in the text responses, Sapia AI CEO and cofounder Barb Hyman said in an email.



Gned found the whole thing dehumanizing and worrisome, he told Forbes. “I’m in a demographic where it doesn’t affect me, but I’m worried for people who are minorities, who predominantly make up the lower-income labor market.”



For one job applicant, who requested anonymity to speak freely, chatting with a bot had at least one positive. When filling hundreds of job applications, he often never hears back, but the bot at least assured him that his application was received. “It did feel like a morale boost in so many ways,” he said. “But if I had to do this (text with a chatbot) with every job I applied to, it would be a pain in the ass.”

Teamwork in metaverse with Cyber City skyline

AI Chatbots Are The New Job Interviewers

<h2 class="wp-block-heading">TOPLINE</h2>



Eric Schmidt, who served as Google’s CEO from 2001 to 2011, said Wednesday that artificial intelligence could cause people to be “harmed or killed” amid possible “existential risks,” adding to concerns from other tech executives over the development of AI.



<h2 class="wp-block-heading">KEY FACTS</h2>



Schmidt, who&nbsp;<a href="https://www.wsj.com/video/events/life-with-ai/F13F8BDE-2AB5-4BA1-9191-997FC338C1AF.html" target="_blank" rel="noreferrer noopener">spoke</a>&nbsp;during the&nbsp;Wall Street Journal’s CEO Council Summit Wednesday, warned AI poses risks that “is defined as many, many, many, many people harmed or killed.”



Schmidt—who also served as the executive chairman of Alphabet from 2015 to 2017—suggested regulations on AI is a “broader question for society,” adding he believes it is unlikely the U.S. will establish a regulatory agency.



Sundar Pichai, CEO of Google and Alphabet,&nbsp;<a href="https://www.ft.com/content/8be1a975-e5e0-417d-af51-78af17ef4b79" target="_blank" rel="noreferrer noopener">wrote</a>&nbsp;in the&nbsp;Financial Times&nbsp;that “AI is the most profound technology humanity is working on today,” adding it is important to “make sure as a society we get it right.”



Twitter CEO Elon Musk and Apple cofounder Steve Wozniak signed a&nbsp;<a href="https://futureoflife.org/open-letter/pause-giant-ai-experiments/" target="_blank" rel="noreferrer noopener">letter</a>&nbsp;in March alongside politician Andrew Yang, Skype cofounder Jaan Tallinn, Pinterest cofounder Evan Sharper and Ripple cofounder Chris Larson, which urged AI labs to “immediately pause” work to slow down an “out-of-control race” to develop the technology.



OpenAI CEO Sam Altman&nbsp;<a href="https://www.youtube.com/watch?v=mL5wI3tkXkw&amp;ab_channel=ABCNews" target="_blank" rel="noreferrer noopener">told</a>&nbsp;ABC News in March that his company was “a little bit scared” over AI’s potential, adding it “will be the greatest technology humanity has yet developed.”



<h2 class="wp-block-heading">CRUCIAL QUOTE</h2>



Schmidt warned, “There are scenarios—not today, but reasonably soon, where these systems will be able to find zero-day exploits in cyber issues, or discover new kinds of biology,” adding, “When that happens, we want to be ready to know how to make sure these things are misused by evil people.”



<h2 class="wp-block-heading">CONTRA</h2>



Billionaire philanthropist Bill Gates has applauded the possible impact AI could have on society, noting he has seen “stunning” advancements in recent months. Microsoft, which Gates founded in 1975, has&nbsp;<a href="https://www.forbes.com/sites/dereksaul/2023/01/23/chatgpt-parent-open-ai-gets-game-changing-multibillion-dollar-boost-from-microsoft/?sh=2f9a49cc3c0c">reportedly</a>&nbsp;invested $10 billion in OpenAI. Gates acknowledged the issues raised in the letter signed by Musk and others in a&nbsp;<a href="https://www.gatesnotes.com/The-Age-of-AI-Has-Begun" target="_blank" rel="noreferrer noopener">blog post</a>, though he noted any social concerns about the technology should be regulated by the government in an effort to ensure it was used for good. Gates also&nbsp;<a href="https://www.forbes.com/sites/anafaguy/2023/03/21/bill-gates-thinks-ai-will-revolutionize-healthcare-for-worlds-poorest/?sh=653e3470d192">suggested</a>&nbsp;AI could be used to improve productivity, reduce global preventable deaths among children and improve inequity in American education.



<h2 class="wp-block-heading">FORBES VALUATION</h2>



Schmidt, who also cofounded the venture capital firm Innovation Endeavors, is worth $20.1 billion, according to our&nbsp;<a href="https://www.forbes.com/profile/eric-schmidt/?sh=6e033446138e">estimates</a>.



<h2 class="wp-block-heading">KEY BACKGROUND</h2>



Schmidt’s warning follows his time on the National Security Commission on Artificial Intelligence, which released a&nbsp;<a href="https://www.nscai.gov/wp-content/uploads/2021/03/Full-Report-Digital-1.pdf" target="_blank" rel="noreferrer noopener">report</a>&nbsp;in 2021 that indicated the U.S. government was “not today prepared for this new technology.” Schmidt also called for increasing the nation’s budget for research and development to $2 billion in 2022, and then doubling contributions until it reached $32 billion in 2026. The White House&nbsp;<a href="https://www.whitehouse.gov/briefing-room/statements-releases/2023/05/04/fact-sheet-biden-harris-administration-announces-new-actions-to-promote-responsible-ai-innovation-that-protects-americans-rights-and-safety/" target="_blank" rel="noreferrer noopener">released</a>&nbsp;a plan earlier this month to tackle possible risks from AI, including $140 million in funding to establish research institutes to drive responsible innovation. Calls for regulating AI have accelerated in recent months following the launch of OpenAI’s ChatGPT late last year. Other companies—including Google—have since released their own iterations of AI chatbots.



<h2 class="wp-block-heading">FURTHER READING</h2>



<a href="https://www.forbes.com/sites/roberthart/2023/03/29/elon-musk-and-tech-leaders-call-for-ai-pause-over-risks-to-humanity/?sh=5275dbea6dfc">Elon Musk And Tech Leaders Call For AI ‘Pause’ Over Risks To Humanity</a>&nbsp;(Forbes)



<a href="https://www.forbes.com/sites/alexkonrad/2023/02/06/bill-gates-openai-microsoft-ai-hottest-topic-2023/?sh=6a484d444777">Exclusive: Bill Gates On Advising OpenAI, Microsoft And Why AI Is ‘The Hottest Topic Of 2023’</a>&nbsp;(Forbes)



<a href="https://www.forbes.com/sites/anafaguy/2023/03/21/google-releases-bard-ai-chatbot-amid-competition-with-chatgpt/?sh=5c5f07bb32b7">Google Releases Bard AI Chatbot Amid Competition With ChatGPT</a> (Forbes)



<a href="https://www.forbes.com/sites/tylerroush/"></a>



<a href="https://www.forbes.com/sites/antoniopequenoiv/2023/05/24/desaster-desantis-roasted-over-botched-twitter-campaign-launch-by-trump-biden-and-more/"></a>



<a href="https://www.forbes.com/sites/saradorn/2023/05/24/desantis-2024-announcement-blasts-corporate-journalists-and-elites-but-not-trump-in-talk-with-elon-musk/"></a>



<a href="https://www.forbes.com/sites/antoniopequenoiv/2023/05/24/microsoft-says-china-hackers-targeted-critical-us-infrastructure-in-guam-a-key-military-asset-in-the-pacific/"></a>



<a href="https://www.forbes.com/sites/saradorn/2023/05/24/desantis-2024-announcement-delayed-by-twitter-glitches/"></a>



<a href="https://www.forbes.com/sites/mollybohannon/2023/05/24/house-passes-bill-repealing-bidens-student-loan-forgiveness-plan/"></a>



<a href="https://www.forbes.com/sites/mollybohannon/2023/05/24/dhs-warns-of-potential-attacks-on-government-buildings-minority-groups-and-more-ahead-of-2024-election/"></a>



<a href="https://www.forbes.com/sites/brianbushard/2023/05/24/us-believes-ukraine-behind-kremlin-drone-attack-report-says/"></a>

National Security Commission Holds Conference On Artificial Intelligence

Former Google CEO Warns AI Could Cause People To Be ‘Harmed Or Killed’

Despite the public roasting Levi’s took for flirting with AI, smaller clothing sellers who model their own products online maintain a growing interest in replacing themselves with the computer-generated kind.



On Tracy Porter’s&nbsp;clothing site, it’s all Tracy Porter.



Thin, blonde and 5-foot-10, the 55-year-old entrepreneur poses in each and every one of her designs. Her husband uses his iPhone to snap pictures, which they often take on the wildflower-strewn bluffs overlooking the beach 15 minutes from their home in California’s Santa Ynez Valley, before uploading them to their e-commerce site, The Porter Collective. There, you can see Porter in her striped midi dress, in her multicolor crocheted cardigan and in her black-and-white rattan visor.



Porter said she’s been searching for ways to replace herself as a model, not only to lighten the load but to bring some diversity to the site. Humans, however, are prohibitively expensive. So she’s been testing a new artificial-intelligence service from Israeli startup&nbsp;<a href="https://botika.io/" target="_blank" rel="noreferrer noopener">Botika</a>. She said the images look so realistic that when she showed her sons, they told her she was out of a job.



“I’m actually excited about that. I don’t want to be our model anymore,” Porter said with a laugh.



After Levi’s endured a scorching backlash in March for&nbsp;<a href="https://www.levistrauss.com/2023/03/22/lsco-partners-with-lalaland-ai/" target="_blank" rel="noreferrer noopener">its plan</a>&nbsp;to bring more diversity to the site with AI-generated models – critics flayed the company, which had 2022 sales of $6.2 billion, for not simply hiring more humans – it would be no surprise if big clothing retailers have gotten skittish about using, or admitting they use, nonhuman models. That same public disapproval hasn’t yet extended to the many mom-and-pop clothing shops, whose budgets, like Tracy Porter’s, would collapse under the costs of professional hair, makeup and photography – even without inflation, rising borrowing costs and a recession that feels as if it’s been looming forever.



Services like Botika let brands easily display their clothing on various (computer-generated) fashion models. However, they are still working to add more ages, body shapes and ethnicities.BOTIKA



“In the current economy, customers are mostly looking to optimize costs,” said Eran Dagan, cofounder and CEO of Botika, which caters to small businesses and plans to start subscriptions for its AI model service at just $15 a month. It’s preparing to launch on Shopify and has a waiting list of over 1,000 customers. Dagan said Botika has gotten interest from sellers on resale platforms like Poshmark and Depop, where entrepreneurs typically photograph clothing on themselves and crop out their heads.



Another company in the space,&nbsp;<a href="https://lalaland.ai/" target="_blank" rel="noreferrer noopener">Lalaland</a>&nbsp;— which is still set to power Levi’s attempt to go AI — said its recent growth has been driven mainly by small and medium-sized businesses. While the company declined to disclose revenue figures, cofounder and CEO Michael Musandu said business has picked up significantly over the last eight months and sales have grown by eight- or nine-fold.



“We’re helping emerging brands that are just starting out and have zero budgets, or low budgets, to actually plan photoshoots,” said Musandu. “We really help level the playing field by representing the underdog.”



The fact remains that for everyone, photoshoots are pricey, and while shoppers are increasingly demanding that clothes be shown on a variety of models, no brand has an unlimited budget to do that. Tracy Porter used to hire outside photographers, models and hair and makeup stylists to shoot her products, but it would cost $5,500 every time she brought them out. If she outsourced photography for her multimillion-dollar business today, she estimates it would set her back $500,000 a year. “It’s just too much money,” she said.



<blockquote class="wp-block-quote">
“What I’d like to do is take an image and see it on different sizes. Small, medium and large. But I don’t want to have to hire all the people to do that.”Tracy Porter, small business owner
</blockquote>



Which is how Porter landed on modeling the clothes herself. However, that makes it difficult for shoppers with a different body shape or ethnicity to get a sense for how her products would look on them. “What I’d like to do is take an image and see it on different sizes. Small, medium and large. But I don’t want to have to hire all the people to do that,” said Porter. “Because there will be no profit left in our company and we’ll have to close.”



Another small business owner, Jacob Flores, is looking forward to more easily finding models that reflect his customer base. The 50-year-old former web designer from San Antonio, whose online store Blissfully Brand sells skintight dresses, skater skirts and bell bottoms in colorful prints inspired by fashion from the 1960s and 1970s, has a lot of customers in their 40s and 50s. But many models for hire tend to be much younger.



Flores recently started using Lalaland, where he can hand-select digital models from a library, dress them in his products and upload the images to his site without leaving the house. For $300 a month, he gets 50 images, enabling him to display more of his clothing on models much faster. He was previously limited to doing photoshoots four times a year, where he would pay $900 to get as many shots of a few models in 20 outfits as he could in two hours.



Now he plans to do photoshoots just once or twice a year on location so he can show his clothing at the beach or on a city street. He also sees AI being helpful with social media ads, allowing him to target certain audiences with tailored images.



Richard Evans, founder of wellness startup Juro Miru, also opted to include some shots on AI models to launch his new e-commerce site, in addition to images of clothing laid on a flat surface.



Startup Juro Miru displays some of its products on AI models.SCREENSHOT OF JURO MIRU WEBSITE



As for shoppers, it can be impossible for them to tell whether they’re looking at a real or fake model. There are no clear rules for disclosure, although companies are beginning to think about it. TikTok is reportedly working on a tool that will give creators a way to say whether they’ve used generative AI.



“When you’re presenting an image that could easily be mistaken for an actual person, I think you should disclose that it’s a computer-generated image,” said David Danks, a professor at the University of California, San Diego whose research explores the ethical issues around artificial intelligence.



Porter is wrestling with this question, among others. “How would you even know? Do we have to say? Are we supposed to say? There are a lot of questions,” she said. Her friends seem afraid of AI and have told her they think it will put models out of work. “It’s a constant dinner table conversation for us.”



<a href="https://www.forbes.com/sites/laurendebter/"></a>By Lauren Debter, Forbes Staff

Pacific Islander woman wearing artificial technology mask

Clothing Entrepreneurs Can’t Wait To Fire Themselves As Models And Hire The AI Kind Instead

The changing relationship between human beings and intelligent machines in the workplace.



BY TIANA CLINE



IT’S SIMPLE: BEING CONNECTED 24X7 BLURS WORKlife boundaries. And with so many employees working from home on a semi-permanent basis, remote work life in the time of the coronavirus pandemic has been a brilliant move for some corporates. Google, for example, are letting their employees work from home until the middle of 2021; yet, others are struggling to keep track of the productivity and wellbeing of their workforce. 



If anything, the pandemic has exacerbated workplace mental health issues because it has propelled everyone’s personal life into the spotlight, showing where and how people live as well as the challenges they face when working from home. So the question remains – would you feel more comfortable sharing your personal, work-from-home issues to human resources or to a machine? 



A study by Oracle and Workplace Intelligence found that 68% of people would prefer to talk to a robot over their manager about stress and anxiety at work and 80% of people are open to having a robot as a therapist or counsellor.



“People are no longer afraid of the robots. They have experienced how artificial intelligence and machine learning can improve the way they work in a very pragmatic way. And the more they use these technologies, the more excited they are about them,” says Emily He, Oracle’s Senior Vice President of the human capital management cloud business group.



Using technological advances like artificial intelligence (AI) to automate monotonous tasks and reduce stress can prevent burnout. According to Oracle, technology can also help to scale mental health support in the workplace, making organizations come across as more empathetic.



“Empathy is built into our prefrontal cortex. It’s an evolutionary skill and it’s within us as human beings,” explains Mimi Nicklin, a business strategist, empathy expert and author of Softening the Edge: Empathy: How Humanity’s Oldest Leadership Trait is Changing Our World.



“Technology can drive empathy in many ways. For example, virtual reality is an incredible tool that has allowed people to empathize with those that are nothing like them. Microsoft is using technology to create apps and interventions that allow us to connect with each other better, whether that’s people with special needs or apps like Microsoft Teams. In some ways, it makes us further apart but in other ways, you’re able to use those screens in the same way that you can if you were sitting next to that person in a cafe, making eye contact.”



Online communication is not always detrimental to empathy because empathy can influence the way we use technology, allowing us to more easily foster an emotional connection. Implementing softscaling, the empathic use of data, shows how technology can grow businesses when stakeholders apply data compassionately, making empathy a part of the business process.



In a remote workplace, where face-to-face conversations have been replaced by video, it is often difficult to read social cues. Research into artificial empathy (sometimes called computational empathy) is currently underway at MIT Media Lab with a project called Deep Empathy which uses AI to help people see things differently, contextually. The same way a human being learns empathy, AI can be taught to develop systems that are more intuitive. And in more human-centered workplaces, like the medical or personal robotics industry, this could be a game-changer.



“There’s never been a more important time for us to have this discussion around why we need higher empathy, higher connectivity between people and certainly within our businesses,” says Nicklin.



“As we look to rebuild our businesses in 2021, that need to create cohesive, connected, motivated teams is critical, especially as organisations try to balance going back to the office, reintegrating their teams, balancing home and office work… we know that in organizations where empathy is higher, when emotional intelligence is high, we see higher levels of output, improved performance, higher motivation. And we see higher levels of cognitive thinking so things like innovation, creativity, design, all of those facets go up in organizations that value and imbue empathy into their culture.”

Robot sitting in office, working alone

Can Empathy Be Automated?

Forethought CEO Deon Nicholas knows you’re probably sick of hearing about chatbots. Once promised to provide human-like customer service at much faster speeds, the software’s lost much of its hype through head-scratching, rote answers and dead ends that can make you dream of speaking to a human being again.



At his three-year-old startup, however, Nicholas says that the tools are built differently from the ground up. These ones, he insists, really help. The difference: real artificial intelligence software versus basic automated decision trees. “We know you’ve been burned,” Nicholas says. “But that wasn’t artificial intelligence. It was a lot more artificial than it was intelligent.”



San Francisco-based business Forethought offers a tool called Agatha that it believes can actually work, with a product for service agents, triaging support tickets and resolving them on its own using natural language processing and AI software that gets smarter at anticipating solutions over time. The company says it’s resolved more than 500,000 claims automatically so far.



Investors have noticed: Forethought announced on Wednesday it’s raised $17 million in a Series B funding round from previous investor NEA, Sound Ventures, Neo, Geodesic Capital and Operator Collective, alongside high-leverage individuals including Qualtrics CEO Ryan Smith, Sean “Diddy” Combs and LL Cool J.



A former engineer at Dropbox and Pure Storage, Nicholas launched Forethought with ex-LinkedIn engineer Sami Ghoche in 2018, both appearing on the Forbes 30 Under 30&nbsp;<a href="https://www.forbes.com/pictures/5be5b8d54bbe6f78bda781d9/deon-nicholas-25-l-sami-g/#166c47d95c36">list</a>&nbsp;for enterprise tech&nbsp;<a href="https://www.forbes.com/sites/igorbosilkovski/2018/11/13/30-under-30-in-enterprise-tech-drone-school-ai-accountability-and-buying-cars-from-home/#7f09407a55c9">for the following year</a>&nbsp;at the ages of 25 and 24. (Three other team members are also alumni of the list.) Later that year, Forethought won TechCrunch’s Disrupt Battlefield startup contest before&nbsp;<a href="https://techcrunch.com/2018/12/04/forethought-snares-9m-series-a-in-wake-of-battlefield-win/" target="_blank" rel="noreferrer noopener">raising</a>&nbsp;a $9 million Series A led by NEA.



What has made Forethought resonate with customers—nameable ones are mostly in tech, too, like Carta, Gusto and Masterclass—is software that plugs into a company’s sales and customer service software to learn how past issues were resolved and better predict what an individual ticket might be about. That can lead to much higher accuracy and faster resolution times, Nicholas says: “Agatha is able to figure out when new problems start to arise and how to respond to them by listening to how [human] agents are responding.”



At Sound Ventures, investor and actor Ashton Kutcher says he was initially skeptical about backing another customer service tool. Digging in, Kutcher says the Sound team was impressed by how Forethought’s tech really worked. “It’s a headache so many of our portfolio companies have, because with everything becoming 24/7, customer service has to be 24/7. And it gets more complicated when everything is on-demand and everything is at your fingertips,” Kutcher says.



“There’s a lot of folks who are working on different AI things, but no one really has a front door to it,” adds Qualtrics’ Smith. “Watching what Deon is doing, they are making every organization way more intelligent.”



Term sheets for Forethought’s Series B arrived just as the killing of George Floyd set off Black Lives Matter protests across the U.S. That made closing the round “a tough time” for Nicholas, a still too-rare Black startup founder in tech. Over the following weeks, Kutcher and Forethought’s investor base worked to bring in prominent Black entrepreneurs to join the round, leading to the participation of Combs and LL Cool J.



“For me, it is really important to tell a new story, change the face of what success looks like,” Nicholas says. “I’ve always been a builder, so if that’s what I can do for the world, then I’m going to do that and make waves while I’m at it.”



-By Alex Konrad, Forbes Staff

TechCrunch Disrupt San Francisco 2019 – Day 3

This Startup Raised $17 Million From Investors Like Ashton Kutcher And Diddy To Take On Customer Service With AI

A new report released by Oxford Insights shows that even though there is a digital divide as well as data poverty in Africa, five countries on the continent are taking leaps into leveraging technologies to accelerate economic growth with the use of Artificial Intelligence (AI).&nbsp;



In the 2020 Government AI Readiness Index Mauritius took the 45th position globally out of 172 countries across the world, making it the highest-ranked African country on the index. According to <a href="https://www.youtube.com/watch?v=1MEWNMV6MQI&amp;feature=youtu.be">Oxford Insights</a>, Mauritius has always been forward-looking in terms of AI as it is is the only country on the continent to have published an AI strategy.&nbsp;



“Mauritius approach to AI is fantastic… They have a clear strategy as to what they want to achieve. They are also bringing the private sector and academia with them. They have a council with all of these sectors on them. They are investing in the skills and they are thinking about how that can be transferred back into the industry. That’s amazing and that’s the perfect playbook,” Richard Stirling, Oxford Insights CEO says. &nbsp;



The methodology of this index looks at a countries’ government’s willingness to adopt AI and if the country has a good supply of AI expertise and tools from the technology sector. In addition to that part, these tools need to be built and trained on high-quality and representative data with the appropriate infrastructure to be delivered to and used by citizens. 



Mauritius is also ranked 13 out of 34 countries on this year’s Responsible Use Sub-Index. This index, also by Oxford Insights, tracks the ethical use of AI in countries across the globe. The debate around responsible AI was put into focus this year due to the Covid-19 pandemic, issues around privacy as well as ongoing global inequality. The index was measured using inclusivity, accountability, transparency, and privacy as some of its main indicators.&nbsp;



“Just because you are good at building AI, it does not mean you are using it ethically and responsibly,” Stirling says.&nbsp;



Among Mauritius, South Africa was also placed 59th globally on Government AI Readiness Index, Seychelles 68th, Kenya 71st, and Rwanda taking the 87th position. And although these countries are lower, Stirling elaborates on how these countries have focused on skills development which will harness the potential for AI not only in public services but in other sectors. Nations from the US, the UK to Russia, China, and Israel hold the top positions on the index, however, there are no countries in Africa in the top 20.&nbsp;



“We are lagging in technological development so we are playing catch up most of the time and essentially we are in catch up mode,” Araba Sey, Sub-Saharan Africa AI expert, commented on the Oxford Insights website.&nbsp;



Jean Lebel, President, International Development Research Centre (IDRC), added in a statement that though Ai has the potential to transform governance and public services throughout the world, there is a danger that regions, like in Africa, will be left behind. Lebel further adds that the index should encourage new collaborations and investments that could potentially assist with the barriers to government&#8217;s AI readiness and responsibilities. 



“We believe that this, in part, will help those currently lagging behind in our index to improve their AI readiness so that existing economic and technology inequality doesn&#8217;t become further entrenched and leave billions of citizens with worse quality public services,” Lebel said.

Young femal e engineer concept. GUI (Graphical User Interface).

Mauritius, South Africa & Seychelles Are In The Driver’s Seat Of AI Readiness In Africa

When Samsung’s Galaxy S20 Ultra launched early this year, it enjoyed all the attention a snazzy new smartphone on the market deserves.



And this one has some monster specifications to boot: such as 8K video support, 5G connectivity, up to 100x Space Zoom, powerful processor, 5,000mAh battery, 108-megapixel camera and the most dazzling of it all – a 6.9-inch screen with a 120Hz display and refresh screen rate.



The Samsung S20 Ultra certainly ticks many global firsts in terms of features, but now that the post-pandemic world has taken the sheen off retail and consumer spending, let’s be honest. The S20 Ultra may be packed with the coolest specifications, but it’s neither friendly to your wallet nor your pocket – as it’s both pricey and weighty (taller and thicker than most).



While the S20 has the best range and its other models offer value for money, you will need to take a long, hard look at the specifications of the S20 Ultra to convince yourself that it justifies the price tag, as this latest flagship Samsung device costs from $1,400.



But if you are in the game for the latest tech tool, the Samsung S20 Ultra definitely breaks the monotony of smartphones and is an upgrade if you can afford it.



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="683" src="https://www.forbesafrica.com/wp-content/uploads/2020/07/03_galaxys20ultra_cosmic_gray_l30-1-1024x683.jpg" alt="" class="wp-image-46790" srcset="https://cms.forbesafrica.com/wp-content/uploads/2020/07/03_galaxys20ultra_cosmic_gray_l30-1-1024x683.jpg 1024w, https://cms.forbesafrica.com/wp-content/uploads/2020/07/03_galaxys20ultra_cosmic_gray_l30-1-300x200.jpg 300w, https://cms.forbesafrica.com/wp-content/uploads/2020/07/03_galaxys20ultra_cosmic_gray_l30-1-600x400.jpg 600w, https://cms.forbesafrica.com/wp-content/uploads/2020/07/03_galaxys20ultra_cosmic_gray_l30-1-768x512.jpg 768w, https://cms.forbesafrica.com/wp-content/uploads/2020/07/03_galaxys20ultra_cosmic_gray_l30-1-1536x1024.jpg 1536w, https://cms.forbesafrica.com/wp-content/uploads/2020/07/03_galaxys20ultra_cosmic_gray_l30-1-2048x1366.jpg 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>



Its dimensions apart, it has more features than its curvier peers. If you are looking for more bang for your buck, think of the new work-from-home reality that has also created some new demands for the business professional, one of which is more sophisticated technology in your palm and pocket.



The S20 Ultra comes with 5G, and on its rear, features a large rectangular camera module with four lenses including a telephoto camera for depth vision. High-resolution photographscan be uploaded and downloaded quickly.



The 120Hz display could be a boon for gamers as it enables smooth gaming. Samsung has also partnered with Spotify and Netflix to bring personalized entertainment; a prerequisite for any smart device at a time when the world needs at-home recreation the most.



The camera system is powered by artificial intelligence (AI). With a 108-megapixel rear camera and 40-megapixel front camera, you may switch between the two so the recording is seamless.



The S20 Ultra also uses AI to recommend good shots. With the 8K video recording (apparently the only smartphone in South Africa to offer this), the images you shoot are quite true-to-life in color and quality. And then you also do have a custom filter to customize your own personal photo filters.&nbsp;



The 128GB of storage seems small, given its 8K video capabilities, but you can choose to increase it to 1.5TB with a microSD card and a 12GB RAM allocation. Knox-Knox is Samsung’s defense-grade mobile security platform in the device providing real-time device protection too.



It may take a while to get used to the spatial features of this heavier smartphone, but users, including iPhone converts, have admitted to being drawn by its cool core technology. Hard to ignore it, online or on retail shelves.

Tag: artificial intelligence

FORBES AFRICA SOCIAL MEDIA