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Tag: Artificial Intelligence

  • Meta releases clues on how AI is used on Facebook and Instagram | CNN Business

    Meta releases clues on how AI is used on Facebook and Instagram | CNN Business


    Washington
    CNN
     — 

    As demand for greater transparency in artificial intelligence mounts, Meta released tools and information Thursday aimed at helping users understand how AI influences what they see on its apps.

    The social media giant introduced nearly two dozen explainers focused on various features of its platforms, such as Instagram Stories and Facebook’s news feed. These describe how Meta selects what content to recommend to users.

    The description and disclosures came in the face of looming legislation around the world that may soon impose concrete disclosure requirements on companies that use AI technology.

    Meta’s so-called “system cards” cover how the company determines which accounts to present to users as recommended follows on Facebook and Instagram, how the company’s search tools function and how notifications work.

    For example, the system card devoted to Instagram’s search function describes how the app gathers all relevant search results in response to a user’s query, scores each result based on the user’s past interactions with the app and then applies “additional filters” and “integrity processes” to narrow the list before finally presenting it to the user.

    Meta’s president of global affairs, Nick Clegg, tied the company’s new disclosures to a global debate about the potential dangers of artificial intelligence that range from the spread of misinformation to a rise in AI-enabled fraud and scams.

    “With rapid advances taking place with powerful technologies like generative AI, it’s understandable that people are both excited by the possibilities and concerned about the risks,” Clegg wrote in a blog post Thursday. “We believe that the best way to respond to those concerns is with openness.”

    A longer blog post describing how Facebook content ranking works, meanwhile, identifies detailed factors that go into determining what information the platform presents first.

    Those factors include whether a post has been flagged by a third-party fact checker, how engaging the account that posted the material may be, and whether you may have interacted with the account in the past.

    Meta’s new explainers coincide with the release of new tools for users to tailor the company’s algorithms, including the ability to tell Instagram to supply more of a certain type of content. Previously, Meta had only offered the ability for users to tell Instagram to show less, not more, Clegg wrote.

    On both Facebook and Instagram, he added, users will now be able to customize their feeds further by accessing a menu from individual posts.

    Finally, he said, Meta will be making it easier for researchers to study its platforms by providing a content library and an application programming interface (API) featuring a variety of content from Facebook and Instagram.

    Meta’s announcement comes as European lawmakers have swiftly advanced legislation that would create new requirements for explanation and transparency for companies that use artificial intelligence, and as US lawmakers have said they hope to begin working on similar legislation later this year.

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  • AI is already linked to layoffs in the industry that created it | CNN Business

    AI is already linked to layoffs in the industry that created it | CNN Business



    CNN
     — 

    Many have raised alarms about the potential for artificial intelligence to displace jobs in the years ahead, but it’s already causing upheaval in one industry where workers once seemed invincible: tech.

    A small but growing number of tech firms have cited AI as a reason for laying off workers and rethinking new hires in recent months, as Silicon Valley races to adapt to rapid advances in the technology being developed in its own backyard.

    Chegg, an education technology company, disclosed in a regulatory filing last month that it was cutting 4% of its workforce, or about 80 employees, “to better position the Company to execute against its AI strategy and to create long-term, sustainable value for its students and investors.”

    IBM CEO Arvind Krishna said in an interview with Bloomberg in May that the company expects to pause hiring for roles it thinks could be replaced with AI in the coming years. (In a subsequent interview with Barrons, however, Krishna said that he felt his earlier comments were taken out of context and stressed that “AI is going to create more jobs than it takes away.”)

    And in late April, file-storage service Dropbox said that it was cutting about 16% of its workforce, or about 500 people, also citing AI.

    In its most-recent layoffs report, outplacement firm Challenger, Gray & Christmas said 3,900 people were laid off in May due to AI, marking its first time breaking out job cuts based on that factor. All of those cuts occurred in the tech sector, according to the firm.

    With these moves, Silicon Valley may not only be leading the charge in developing AI but also offering an early glimpse into how businesses may adapt to those tools. Rather than render entire skill sets obsolete overnight, as some might fear, the more immediate impact of a new crop of AI tools appears to be forcing companies to shift resources to better take advantage of the technology — and placing a premium on workers with AI expertise.

    “Over the last few months, AI has captured the world’s collective imagination, expanding the potential market for our next generation of AI-powered products more rapidly than any of us could have anticipated,” Dropbox CEO Drew Houston wrote in a note to staff announcing the job cuts. “Our next stage of growth requires a different mix of skill sets, particularly in AI and early-stage product development.”

    In response to a request for comment on how its realignment around AI is playing out, Dropbox directed CNN to its careers page, where it is currently hiring for multiple roles focused on “New AI Initiatives.”

    Dan Wang, a professor at Columbia Business School, told CNN that AI “will cause organizations to restructure,” but also doesn’t see it playing out as machines replacing humans just yet.

    “AI, as far as I see it, doesn’t necessarily replace humans, but rather enhances the work of humans,” Wang said. “I think that the kind of competition that we all should be thinking more about is that human specialists will be replaced by human specialists who can take advantage of AI tools.”

    The AI-driven tech layoffs come amid broader cuts in the industry. Many tech companies have been readjusting to an uncertain economic environment and waning levels of demand for digital services more than three years into the pandemic.

    Some 212,294 workers in the tech industry have been laid off in 2023 alone, according to data tracked by Layoffs.fyi, already surpassing the 164,709 recorded in 2022.

    But in the shadow of those mass layoffs, the tech industry has also been gripped by an AI fervor and invested heavily in AI talent and tech.

    In January, just days after Microsoft announced plans to lay off 10,000 employees as part of broader cost-cutting measures, the company also confirmed it was making a “multibillion dollar” investment into OpenAI, the company behind ChatGPT. And in March, in the same letter to staff Mark Zuckerberg used to announce plans to lay off another 10,000 workers (after cutting 11,000 positions last November), the Meta CEO also outlined plans for investing heavily in AI.

    Even software engineers in Silicon Valley who once seemed uniquely in demand now appear to be at risk of losing their jobs, or losing out on salary gains to those with more AI expertise.

    Roger Lee, a startup founder who has been tracking tech industry layoffs via his website Layoffs.fyi, also runs Comprehensive.io, which examines job listings and compensation data across some 3,000 tech companies.

    Lee told CNN that a recent analysis of data from Comprehensive.io shows the average salary for a senior software engineer specializing in artificial intelligence or machine learning is 12% higher than for those who don’t specialize in that area, a data point he dubs “the AI premium.” The average salary for a senior software engineer specializing in AI or machine learning has also increased by some 4% since the beginning of the year, whereas the average salary for senior software engineers as a whole has stayed flat, he said.

    Lee noted Dropbox as an example of a company offering notably high pay for AI roles, citing a base salary listing of $276,300 to $373,800 for a Principal Machine Learning Engineer role. (By comparison, Comprehensive.io’s data puts the current average salary for a senior software engineer at $171,895.)

    Those looking to thrive in the tech industry and beyond may need to brush up on their AI skills.

    Wang, the professor at Columbia Business School, told CNN that starting this past spring semester, he began requiring his students to familiarize themselves with the new crop of generative AI tools on the market. “That type of exposure I think is absolutely critical for setting themselves up for success and once they graduate,” Wang said.

    It’s not that everyone needs to become AI specialists, Wang added, but rather that workers should know how to use AI tools to become more efficient at whatever they’re doing.

    “That’s where the kind of a battleground for talent is really shifting,” Wang said, “as differentiation in terms of talent comes from creative and effective ways to integrate AI into daily tasks.”

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  • How your phone learned to see in the dark | CNN Business

    How your phone learned to see in the dark | CNN Business


    New York
    CNN
     — 

    Open up Instagram at any given moment and it probably won’t take long to find crisp pictures of the night sky, a skyline after dark or a dimly lit restaurant. While shots like these used to require advanced cameras, they’re now often possible from the phone you already carry around in your pocket.

    Tech companies such as Apple, Samsung and Google are investing resources to improve their night photography options at a time when camera features have increasingly become a key selling point for smartphones that otherwise largely all look and feel the same from one year to the next.

    Earlier this month, Google brought a faster version of its Night Sight mode, which uses AI algorithms to lighten or brighten images in dark environments, to more of its Pixel models. Apple’s Night mode, which is available on models as far back as the iPhone 11, was touted as a premier feature on its iPhone 14 lineup last year thanks to its improved camera system.

    These tools have come a long way in just the past few years, thanks to significant advancements in artificial intelligence technology as well as image processing that has become sharper, quicker, and more resilient to challenging photography situations. And smartphone makers aren’t done yet.

    “People increasingly rely on their smartphones to take photos, record videos, and create content,” said Lian Jye Su, an artificial intelligence analyst at ABI Research. “[This] will only fuel the smartphone companies to up their games in AI-enhanced image and video processing.”

    While there has been much focus lately on Silicon Valley’s renewed AI arms race over chatbots, the push to develop more sophisticated AI tools could also help further improve night photography and bring our smartphones closer to being able to see in the dark.

    Samsung’s Night mode feature, which is available on various Galaxy models but optimized for its premium S23 Ultra smartphone, promises to do what would have seemed unthinkable just five to 10 years ago: enable phones to take clearer pictures with little light.

    The feature is designed to minimize what’s called “noise,” a term in photography that typically refers to poor lighting conditions, long exposure times, and other elements that can take away from the quality of an image.

    The secret to reducing noise, according to the company, is a combination of the S23 Ultra’s adaptive 200M pixel sensor. After the shutter button is pressed, Samsung uses advanced multi-frame processing to combine multiple images into a single picture and AI to automatically adjust the photo as necessary.

    “When a user takes a photo in low or dark lighting conditions, the processor helps remove noise through multi-frame processing,” said Joshua Cho, executive vice president of Samsung’s Visual Solution Team. “Instantaneously, the Galaxy S23 Ultra detects the detail that should be kept, and the noise that should be removed.”

    For Samsung and other tech companies, AI algorithms are crucial to delivering photos taken in the dark. “The AI training process is based on a large number of images tuned and annotated by experts, and AI learns the parameters to adjust for every photo taken in low-light situations,” Su explained.

    For example, algorithms identify the right level of exposure, determine the correct color pallet and gradient under certain lighting conditions, sharpen blurred faces or objects artificially, and then makes those changes. The final result, however, can look quite different from what the person taking the picture saw in real time, in what some might argue is a technical sleight-of-hand trick.

    Lights illuminate the Atlanta Botanical Gardens, in this photo taken using Google Pixel 5 Night Sight setting.

    Google is also focused on reducing noise in photography. Its AI-powered Night Sight feature captures a burst of longer-exposure frames. It then uses something called HDR+ Bracketing, which creates several photos with different settings. After a picture is taken, the images are combined together to create “sharper photos” even in dark environments “that are still incredibly bright and detailed,” said Alex Schiffhauer, a group product manager at Google.

    While effective, there can be a slight but noticeable delay before the image is ready. But Schiffhauer said Google intends to speed up this process more on future Pixel iterations. “We’d love a world in which customers can get the quality of Night Sight without needing to hold still for a few seconds,” Schiffhauer said.

    Google also has an astrophotography feature which allows people to take shots of the night sky without needing to tweak the exposure or other settings. The algorithms detect details in the sky and enhances them to stand out, according to the company.

    Apple has long been rumored to be working on an astrophotography feature, but some iPhone 14 Pro Max users have successfully been able to capture pictures of the sky through its existing Night Mode tool. When a device detects a low-light environment, Night mode turns on to capture details and brighten shots. (The company did not respond to a request to elaborate on how the algorithms work.)

    AI can make a difference in the image, but the end results for each of these features also depend on the phone’s lenses, said Gartner analyst Bill Ray. A traditional camera will have the lens several centimeters from the sensor, but the limited space on a phone often requires squeezing things together, which can result in a more shallow depth of field and reduced image quality, especially in darker environments.

    “The quality of the lens is still a big deal, and how the phone addresses the lack of depth,” Ray said.

    While night photography on phones has come a long way, a buzzy new technology could push it ahead even more.

    Generative AI, the technology that powers the viral chatbot ChatGPT, has earned plenty of attention for its ability to create compelling essays and images in response to user prompts. But these AI systems, which are trained on vast troves of online data, also have potential to edit and process images.

    “In recent years, generative AI models have also been used in photo-editing functions like background removal or replacement,” Su said. If this technology is added to smartphone photo systems, it could eventually make night modes even more powerful, Su said.

    Big Tech companies, including Google, are already fully embracing this technology in other parts of their business. Meanwhile, smartphone chipset vendors like Qualcomm and MediaTek are looking to support more generative AI applications natively on consumer devices, Su said. These include image and video augmentation.

    “But this is still about two to three years away from limited versions of this showing up on smartphones,” he said.

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  • Microsoft leaps into the AI regulation debate, calling for a new US agency and executive order | CNN Business

    Microsoft leaps into the AI regulation debate, calling for a new US agency and executive order | CNN Business



    CNN
     — 

    Microsoft joined a sprawling global debate on the regulation of artificial intelligence Thursday, echoing calls for a new federal agency to control the technology’s development and urging the Biden administration to approve new restrictions on how the US government uses AI tools.

    In a speech in Washington attended by multiple members of Congress and civil society groups, Microsoft President Brad Smith described AI regulation as the challenge of the 21st century, outlining a five-point plan for how democratic nations could address the risks of AI while promoting a liberal vision for the technology that could rival competing efforts from countries such as China.

    The remarks highlight how one of the largest companies in the AI industry hopes to influence the fast-moving push by governments, particularly in Europe and the United States, to rein in AI before it causes major disruptions to society and the economy.

    In a roughly hour-long appearance that was equal parts product pitch and policy proposal, Smith compared AI to the printing press and described how it could streamline policymaking and lawmakers’ constituent outreach, before calling for “the rule of law” to govern AI at every part of its lifecycle and supply chain.

    Regulations should apply to everything from the data centers that train large language models to the end users such as banks, hospitals and others that may apply the technology toward making life-altering decisions, Smith said.

    For decades, “the rule of law and a commitment to democracy has kept technology in its proper place,” Smith said. “We’ve done it before; we can do it again.”

    In his remarks, Smith joined calls made last week by OpenAI — the company behind ChatGPT and that Microsoft has invested billions in — for the creation of a new government regulator that can oversee a licensing system for cutting-edge AI development, combined with testing and safety standards as well as government-mandated disclosure rules.

    Whether a new federal regulator is needed to police AI is quickly emerging as a focal point of the debate in Washington; opponents such as IBM have argued, including in an op-ed Thursday, that AI regulation should be baked into every existing federal agency because of their understanding of the sectors they oversee and how AI may be most likely to transform them.

    Smith also called for President Joe Biden to develop and sign an executive order requiring federal agencies that procure AI tools to implement a risk management framework developed and published this year by the National Institute of Standards and Technology. That framework, which Congress first ordered with legislation in 2020, covers ways that companies can use AI responsibly and ethically.

    Such an order would leverage the US government’s immense purchasing power to shape the AI industry and encourage the voluntary adoption of best practices, Smith said.

    Microsoft itself plans to implement the NIST framework “across all of our services,” Smith added, a commitment he described as the direct outgrowth of a recent White House meeting with AI CEOs in Washington. Smith also pledged to publish an annual AI transparency report.

    As part of Microsoft’s proposal, Smith said any new rules for AI should include revamped export controls tailor-made for the AI age to prevent the technology from being abused by sanctioned entities.

    And, he said, the government should mandate redundant AI circuit breakers that would allow algorithms to be shut off by critical infrastructure providers or from within the data centers they depend on.

    Smith’s remarks, and a related policy paper, come a week after Google released its own proposals calling for global cooperation and common standards for artificial intelligence.

    “AI is too important not to regulate, and too important not to regulate well,” Kent Walker, Google’s president of global affairs, said in a blog post unveiling the company’s plan.

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  • Thousands of authors demand payment from AI companies for use of copyrighted works | CNN Business

    Thousands of authors demand payment from AI companies for use of copyrighted works | CNN Business


    Washington
    CNN
     — 

    Thousands of published authors are requesting payment from tech companies for the use of their copyrighted works in training artificial intelligence tools, marking the latest intellectual property critique to target AI development.

    The list of more than 8,000 authors includes some of the world’s most celebrated writers, including Margaret Atwood, Dan Brown, Michael Chabon, Jonathan Franzen, James Patterson, Jodi Picoult and Philip Pullman, among others.

    In an open letter they signed, posted by the Authors Guild Tuesday, the writers accused AI companies of unfairly profiting from their work.

    “Millions of copyrighted books, articles, essays, and poetry provide the ‘food’ for AI systems, endless meals for which there has been no bill,” the letter said. “You’re spending billions of dollars to develop AI technology. It is only fair that you compensate us for using our writings, without which AI would be banal and extremely limited.”

    Tuesday’s letter was addressed to the CEOs of ChatGPT-maker OpenAI, Facebook-parent Meta, Google, Stability AI, IBM and Microsoft. Most of the companies didn’t immediately respond to a request for comment. Meta, Microsoft and Stability AI declined to comment.

    Much of the tech industry is now working to develop AI tools that can generate compelling images and written work in response to user prompts. These tools are built on large language models, which are trained on vast troves of information online. But recently, there has been growing pressure on tech companies over alleged intellectual property violations with this training process.

    This month, comedian Sarah Silverman and two authors filed a copyright lawsuit against OpenAI and Meta, while a proposed class-action suit accused Google of “stealing everything ever created and shared on the internet by hundreds of millions of Americans,” including copyrighted content. Google has called the lawsuit “baseless,” saying it has been upfront for years that it uses public data to train its algorithms. OpenAI did not previously respond to a request for comment on the suit.

    In addition to demanding compensation “for the past and ongoing use of our works in your generative AI programs,” the thousands of authors who signed the letter this week called on AI companies to seek permission before using the copyrighted material. They also urged the companies to pay writers when their work is featured in the results of generative AI, “whether or not the outputs are infringing under current law.”

    The letter also cites this year’s Supreme Court holding in Warhol v Goldsmith, which found that the late artist Andy Warhol infringed on a photographer’s copyright when he created a series of silk screens based on a photograph of the late singer Prince. The court ruled that Warhol did not sufficiently “transform” the underlying photograph so as to avoid copyright infringement.

    “The high commerciality of your use argues against fair use,” the authors wrote to the AI companies.

    In May, OpenAI CEO Sam Altman appeared to acknowledge more needs to be done to address concerns from creators about how AI systems use their works.

    “We’re trying to work on new models where if an AI system is using your content, or if it’s using your style, you get paid for that,” he said at an event.

    – CNN’s Catherine Thorbecke contributed to this report.

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  • The viral new ‘Drake’ and ‘Weeknd’ song is not what it seems | CNN Business

    The viral new ‘Drake’ and ‘Weeknd’ song is not what it seems | CNN Business



    CNN
     — 

    One of the buzziest songs recently circulating on TikTok and climbing the Spotify charts featured the familiar voices of best-selling artists Drake and the Weeknd. But there’s a twist: Drake and the Weeknd appear to have had nothing to do with it.

    The viral track, “Heart on my Sleeve,” comes from an anonymous TikTok user named Ghostwriter977, who claims to have used artificial intelligence to generate the voices of Drake and the Weeknd for the track.

    “I was a ghostwriter for years and got paid close to nothing just for major labels to profit,” Ghostwriter977 wrote in the video comments. “The future is here.”

    “Heart on my Sleeve” racked up more than 11 million views across several videos in just a few days and was streamed on Spotify hundreds of thousands of times. The original TikTok video has seemingly been taken down, and the song has since been removed from streaming services including YouTube, Apple Music and Spotify. (TikTok, YouTube, Apple and Spotify did not respond to a request for comment.)

    The exact origin of the song remains unclear, and some have suggested it could be a publicity stunt. But the stunning traction for “Heart on my Sleeve” may only add to the anxiety inside the music industry as it goes on offense against the possible threat posed by a new crop of increasingly powerful AI tools on the market.

    Universal Music Group, the music label that represents Drake, The Weeknd and numerous other superstars, sent urgent letters in April to streaming platforms, including Spotify and Apple Music, asking them to block AI platforms from training on the melodies and lyrics of their copywritten songs.

    “The training of generative AI using our artists’ music — which represents both a breach of our agreements and a violation of copyright law as well as the availability of infringing content created with generative AI on digital service providers – begs the question as to which side of history all stakeholders in the music ecosystem want to be on: the side of artists, fans and human creative expression, or on the side of deep fakes, fraud and denying artists their due compensation,” the company said in a statement this week to CNN.

    The record label said platforms have “a fundamental legal and ethical responsibility to prevent the use of their services in ways that harm artists.”

    But attempting to crack down on AI-generated music may pose a unique challenge. The legal landscape for AI work remains unclear, the tools to create it are widely accessible and social media makes it easier than ever to distribute it.

    AI-generated music is not new. Taryn Southern’s debut song “Break Free,” which was composed and produced with AI, hit the Top 100 radio charts back in 2018, and VAVA, an AI music artist (i.e. not a human), currently has a single out in Thailand.

    But a new crop of AI tools have made it easier than ever to quickly generate convincing images, audio, video and written work. Some services such as Boomy specifically leverage generative AI to make music creation more accessible.

    There’s little known about who is behind the Ghostwriter977 account, or which tools the creator used to make the track. The user did not respond to a CNN request for comment.

    In the bio section of the user’s TikTok account, a link directs users to a page on Laylo, a website where fans can sign up to get notifications from artists when new songs are dropped or merchandise and tickets become available. The company told CNN the account likely registered to build up its fan base and brought in “tens of thousands” of signups in the past few days.

    Laylo CEO Alec Ellin denied that the company was behind the viral track as some have speculated, but Ellin told CNN whoever did make it was “clearly a really savvy creator” and called it “a perfect example of the power of using Laylo to own your audience.”

    Michael Inouye, an analyst at ABI Research, said “Heart on my Sleeve” could have been made in several ways depending on the sophistication of the AI and level of musical talent.

    “If music artists were involved, they could create the background music and the lyrics, and then the AI model could be trained with content from Drake and The Weekend to replicate their voices and singing styles,” he said. “AI could also have generated most of the song, lyrics and replicated the artists again based on the training data set and any prompts given to direct the AI model.”

    He added that part of this fascination and virality of the song comes from “just how good AI has gotten at creating content, which includes replicating famous people.”

    Roberto Nickson, who is building an AI platform to help boost productivity and work flow, recently posted a video on Twitter showing how easy it is to record a verse and train an AI model to replace his vocals. He used the artist formerly known as Kanye West as an example.

    “The results will blow your mind,” he said. “You’re going to be listening to songs by your favorite artist that are completely indistinguishable and you’re not going to know if it’s them or not.”

    Although the entertainment industry has seen these issues coming, regulations are lagging behind the rapid pace of AI development.

    Audrey Benoualid, an entertainment lawyer based in Los Angeles, said one could argue “Heart On My Sleeve” does not infringe copyright as it appears to be an “original” composition.

    “Ghostwriter also publicized that Drake and The Weeknd were not involved in the making of the song, which could protect them from a ‘passing off’ claim, where profits are generated as consumers are misled into believing the song is actually a Drake-Weeknd collaboration,” she said in an email to CNN.

    However, Benoualid added, machine learning and generative AI programs may also be found to infringe copyright in existing works, either by making copies of those works to train the AI or by generating outputs that are substantially similar to those existing works. “Major labels would undoubtedly, and have already begun to, argue that their copyrights (and their artists’ intellectual property rights) are being infringed,” she said.

    Michael Nash, an executive VP at Universal Music Group, recently wrote in an op-ed that AI music is “diluting the market, making original creations harder to find, and violating artists’ legal rights to compensation from their work.”

    No regulations exist that dictate on what AI can and cannot train. But last month, in response to individuals looking to seek copyright for AI-generated works, the US Copyright Office released new guidance around how to register literary, musical, and artistic works made with AI.

    The copyright will be determined on a case-by-case basis, the guidance continued, based on how the AI tool operates and how it was used to create the final piece or work. The US Copyright Office announced it will also be seeking public input on how the law should apply to copywritten works the AI trains on, and how the office should treat those works.

    “AI and copyright law and the rights of musicians and labels have crashed into one another (once again), and it will take time for the dust to settle,” Benoualid said. “The landscape is anything but clear at the moment.”

    Inouye said if AI generated content becomes associated with famous individuals in a negative way that could be grounds for a lawsuit to not only take content down but to cease and desist their operations and potentially seek damage.

    “On the flip side, if the content were to be popular and the creator were to make revenue off of the artists’ image or likeness then again the artists could similarly request the content to be taken down and potentially sue for any monetary gains,” he said.

    But for now, concerned parties may be forced to play whack-a-mole. While services like Spotify pulled “Heart on my Sleeve,” versions of it appeared to continue circulating as of Tuesday on other online platforms.

    Even a song made with artificial intelligence may find real staying power online.

    – CNN’s Vanessa Yurkevich contributed to this report.

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  • White House unveils an AI plan ahead of meeting with tech CEOs | CNN Business

    White House unveils an AI plan ahead of meeting with tech CEOs | CNN Business



    CNN
     — 

    The White House on Thursday announced a series of measures to address the challenges of artificial intelligence, driven by the sudden popularity of tools such as ChatGPT and amid rising concerns about the technology’s potential risks for discrimination, misinformation and privacy.

    The US government plans to introduce policies that shape how federal agencies procure and use AI systems, the White House said. The step could significantly influence the market for AI products and control how Americans interact with AI on government websites, at security checkpoints and in other settings.

    The National Science Foundation will also spend $140 million to promote research and development in AI, the White House added. The funds will be used to create research centers that seek to apply AI to issues such as climate change, agriculture and public health, according to the administration.

    The plan comes the same day that Vice President Kamala Harris and other administration officials are expected to meet with the CEOs of Google, Microsoft, ChatGPT-creator OpenAI and Anthropic to emphasize the importance of ethical and responsible AI development. And it coincides with a UK government inquiry launched Thursday into the risks and benefits of AI.

    “Tech companies have a fundamental responsibility to make sure their products are safe and secure, and that they protect people’s rights before they’re deployed or made public,” a senior Biden administration official told reporters on a conference call.

    Officials cited a range of risks the public faces in the widespread adoption of AI tools, including the possible use of AI-created deepfakes and misinformation that could undermine the democratic process. Job losses linked to rising automation, biased algorithmic decision-making, physical dangers arising from autonomous vehicles and the threat of AI-powered malicious hackers are also on the White House’s list of concerns.

    It’s just the latest example of the federal government acknowledging concerns from the rapid development and deployment of new AI tools, and trying to find ways to address some of the risks.

    Testifying before Congress, members of the Federal Trade Commission have argued AI could “turbocharge” fraud and scams. Its chair, Lina Khan, wrote in a New York Times op-ed this week that the US government has ample existing legal authority to regulate AI by leaning on its mandate to protect consumers and competition.

    Last year, the Biden administration unveiled a proposal for an AI Bill of Rights calling for developers to respect the principles of privacy, safety and equal rights as they create new AI tools.

    Earlier this year, the Commerce Department released voluntary risk management guidelines for AI that it said could help organizations and businesses “govern, map, measure and manage” the potential dangers in each part of the development cycle. In April, the Department also said it is seeking public input on the best policies for regulating AI, including through audits and industry self-regulation.

    The US government isn’t alone in seeking to shape AI development. European officials anticipate hammering out AI legislation as soon as this year that could have major implications for AI companies around the world.

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  • Chinese police detain man for allegedly using ChatGPT to spread rumors online | CNN Business

    Chinese police detain man for allegedly using ChatGPT to spread rumors online | CNN Business


    Hong Kong
    CNN
     — 

    Police in China have detained a man they say used ChatGPT to create fake news and spread it online, in what state media has called the country’s first criminal case related to the AI chatbot.

    According to a statement from police in the northwest province of Gansu, the suspect allegedly used ChatGPT to generate a bogus report about a train crash, which he then posted online for profit. The article received about 15,000 views, the police said in Sunday’s statement.

    ChatGPT, developed by Microsoft

    (MSFT)    -backed OpenAI, is banned in China, though internet users can use virtual private networks (VPN) to access it.

    Train crashes have been a sensitive issue in China since 2011, when authorities faced pressure to explain why state media had failed to provide timely updates on a bullet train collision in the city of Wenzhou that resulted in 40 deaths.

    Gansu authorities said the suspect, surnamed Hong, was questioned in the city of Dongguan in southern Guangdong province on May 5.

    “Hong used modern technology to fabricate false information, spreading it on the internet, which was widely disseminated,” the Gansu police said in the statement.

    “His behavior amounted to picking quarrels and provoking trouble,” they added, explaining the offense that Hong was accused of committing.

    Police said the arrest was the first in Gansu since China’s Cyberspace Administration enacted new regulations in January to rein in the use of deep fakes. State broadcaster CGTN says it was the country’s first arrest of a person accused of using ChatGPT to fabricate and spread fake news.

    Formally known as deep synthesis, deep fake refers to highly realistic textual and visual content generated by artificial intelligence.

    The new legislation bars users from generating deep fake content on topics already prohibited by existing laws on China’s heavily censored internet. It also outlines take down procedures for content considered false or harmful.

    The arrest also came amid a 100-day campaign launched by the internet branch of the Ministry of Public Security in March to crack down on the spread of internet rumors.

    Since the beginning of the year, Chinese internet giants such as Baidu

    (BIDU)     and Alibaba

    (BABA)    have sought to catch up with OpenAI, launching their own versions of the ChatGPT service.

    Baidu unveiled “Wenxin Yiyan” or “ERNIE Bot” in March. Two months later, Alibaba launched “Tongyi Qianwen,” which roughly translates as seeking truth by asking a thousand questions.

    In draft guidelines issued last month to solicit public feedback, China’s cyberspace regulator said generative AI services would be required to undergo security reviews before they can operate.

    Service providers will also be required to verify users’ real identities, as well as providing details about the scale and type of data they use, their basic algorithms and other technical information.

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  • How the technology behind ChatGPT could make mind-reading a reality | CNN Business

    How the technology behind ChatGPT could make mind-reading a reality | CNN Business



    CNN
     — 

    On a recent Sunday morning, I found myself in a pair of ill-fitting scrubs, lying flat on my back in the claustrophobic confines of an fMRI machine at a research facility in Austin, Texas. “The things I do for television,” I thought.

    Anyone who has had an MRI or fMRI scan will tell you how noisy it is — electric currents swirl creating a powerful magnetic field that produces detailed scans of your brain. On this occasion, however, I could barely hear the loud cranking of the mechanical magnets, I was given a pair of specialized earphones that began playing segments from The Wizard of Oz audiobook.

    Why?

    Neuroscientists at the University of Texas in Austin have figured out a way to translate scans of brain activity into words using the very same artificial intelligence technology that powers the groundbreaking chatbot ChatGPT.

    The breakthrough could revolutionize how people who have lost the ability to speak can communicate. It’s just one pioneering application of AI developed in recent months as the technology continues to advance and looks set to touch every part of our lives and our society.

    “So, we don’t like to use the term mind reading,” Alexander Huth, assistant professor of neuroscience and computer science at the University of Texas at Austin, told me. “We think it conjures up things that we’re actually not capable of.”

    Huth volunteered to be a research subject for this study, spending upward of 20 hours in the confines of an fMRI machine listening to audio clips while the machine snapped detailed pictures of his brain.

    An artificial intelligence model analyzed his brain and the audio he was listening to and, over time, was eventually able to predict the words he was hearing just by watching his brain.

    The researchers used the San Francisco-based startup OpenAI’s first language model, GPT-1, that was developed with a massive database of books and websites. By analyzing all this data, the model learned how sentences are constructed — essentially how humans talk and think.

    The researchers trained the AI to analyze the activity of Huth and other volunteers’ brains while they listened to specific words. Eventually the AI learned enough that it could predict what Huth and others were listening to or watching just by monitoring their brain activity.

    I spent less than a half-hour in the machine and, as expected, the AI wasn’t able to decode that I had been listening to a portion of The Wizard of Oz audiobook that described Dorothy making her way along the yellow brick road.

    Huth listened to the same audio but because the AI model had been trained on his brain it was accurately able to predict parts of the audio he was listening to.

    While the technology is still in its infancy and shows great promise, the limitations might be a source of relief to some. AI can’t easily read our minds, yet.

    “The real potential application of this is in helping people who are unable to communicate,” Huth explained.

    He and other researchers at UT Austin believe the innovative technology could be used in the future by people with “locked-in” syndrome, stroke victims and others whose brains are functioning but are unable to speak.

    “Ours is the first demonstration that we can get this level of accuracy without brain surgery. So we think that this is kind of step one along this road to actually helping people who are unable to speak without them needing to get neurosurgery,” he said.

    While breakthrough medical advances are no doubt good news and potentially life-changing for patients struggling with debilitating ailments, it also raises questions about how the technology could be applied in controversial settings.

    Could it be used to extract a confession from a prisoner? Or to expose our deepest, darkest secrets?

    The short answer, Huth and his colleagues say, is no — not at the moment.

    For starters, brain scans need to occur in an fMRI machine, the AI technology needs to be trained on an individual’s brain for many hours, and, according to the Texas researchers, subjects need to give their consent. If a person actively resists listening to audio or thinks about something else the brain scans will not be a success.

    “We think that everyone’s brain data should be kept private,” said Jerry Tang, the lead author on a paper published earlier this month detailing his team’s findings. “Our brains are kind of one of the final frontiers of our privacy.”

    Tang explained, “obviously there are concerns that brain decoding technology could be used in dangerous ways.” Brain decoding is the term the researchers prefer to use instead of mind reading.

    “I feel like mind reading conjures up this idea of getting at the little thoughts that you don’t want to let slip, little like reactions to things. And I don’t think there’s any suggestion that we can really do that with this kind of approach,” Huth explained. “What we can get is the big ideas that you’re thinking about. The story that somebody is telling you, if you’re trying to tell a story inside your head, we can kind of get at that as well.”

    Last week, the makers of generative AI systems, including OpenAI CEO Sam Altman, descended on Capitol Hill to testify before a Senate committee over lawmakers’ concerns of the risks posed by the powerful technology. Altman warned that the development of AI without guardrails could “cause significant harm to the world” and urged lawmakers to implement regulations to address concerns.

    Echoing the AI warning, Tang told CNN that lawmakers need to take “mental privacy” seriously to protect “brain data” — our thoughts — two of the more dystopian terms I’ve heard in the era of AI.

    While the technology at the moment only works in very limited cases, that might not always be the case.

    “It’s important not to get a false sense of security and think that things will be this way forever,” Tang warned. “Technology can improve and that could change how well we can decode and change whether decoders require a person’s cooperation.”

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  • Nvidia says US curbs on AI chip sales to China would cause ‘permanent loss of opportunities’ | CNN Business

    Nvidia says US curbs on AI chip sales to China would cause ‘permanent loss of opportunities’ | CNN Business


    Hong Kong
    CNN
     — 

    Nvidia warned Wednesday that if the United States imposes new restrictions on the export of AI chips to China, it would result in a “permanent loss of opportunities” for US industry.

    The company’s chief financial officer, Colette Kress, said she didn’t anticipate any “immediate material impact” but tighter curbs would impact earnings in the future.

    US officials plan to tighten export curbs announced in October to restrict the sale of some artificial-intelligence chips to China, according to multiple media reports, including the Wall Street Journal and Financial Times. Washington has ramped up efforts to cut China off from key technologies that can support its military.

    The US Department of Commerce has not replied to a CNN request for comment.

    The rules, as reported, could make it harder for companies like Nvidia

    (NVDA)     to sell advanced chips to China. Fueled by a boom in demand for its AI chips, the company briefly hit a market capitalization of $1 trillion in late May.

    “We are aware of reports that the US Department of Commerce is considering further controls that may restrict exports of our A800 and H800 products to China,” Kress told an investment conference.

    “Over the long-term, restrictions prohibiting the sale of our datacenter GPUs to China, if implemented, would result in a permanent loss of opportunities for US industry to compete and lead in one of the world’s largest markets and impact on our future business and financial results,” she said.

    GPUs refer to graphics processing units, which are chips or electronic circuits capable of rendering graphics for display on electronic devices.

    “Given the strength of demand for our products worldwide, we do not anticipate that such additional restrictions, if adopted, would have an immediate material impact on our financial results. We do not anticipate any immediate material impact on our financial results,” Kress added.

    Last October, the Biden administration unveiled a sweeping set of export controls that ban Chinese companies from buying advanced chips and chip-making equipment without a license.

    The new move is aimed in part at Nvidia’s A800 chip, which the US-based company created following the introduction of last year’s curbs in order to continue to sell to China, Bloomberg reported.

    China is a key market for Nvidia. Revenues from mainland China and Hong Kong accounted for 22% of the company’s revenue last year, according to its financial statements.

    On Wednesday, shares of Nvidia slumped as much as 3.2%, before recouping some of the losses. It ended down 1.8%. Chinese AI stocks suffered much heavier losses.

    Inspur Electronic Information Industry fell by 10%, the maximum allowed, on Wednesday in Shenzhen. It dropped again by 5.3% on Thursday. Chengdu Information Technology of Chinese Academy of Sciences slid 12% on Wednesday. Baidu

    (BIDU)    , which is developing a rival to ChatGPT, sank 4.4% on Thursday in Hong Kong.

    “The US could ruin China’s AI party,” Jefferies analyst said in a research note. Local chipsets do not have Nvidia’s GPU ecosystem, thus every update may require reworking, resulting in lower efficiency and higher costs.

    The Biden administration’s chip curbs would be “much more effective” in limiting China’s advances in military power driven by AI than rules restricting US investment in China’s tech sector, the analysts added.

    China has strongly criticized US restrictions on tech exports, saying earlier this year that it “firmly opposes” such measures.

    In May, Beijing banned Chinese operators of critical information infrastructure from buying products from Micron Technology

    (MU)    , in apparent retaliation against sanctions imposed by Washington and its allies on the country’s chip sector.

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  • Google-parent stock drops on fears it could lose search market share to AI-powered rivals | CNN Business

    Google-parent stock drops on fears it could lose search market share to AI-powered rivals | CNN Business



    CNN
     — 

    Shares of Google-parent Alphabet fell more than 3% in early trading Monday after a report sparked concerns that its core search engine could lose market share to AI-powered rivals, including Microsoft’s Bing.

    Last month, Google employees learned that Samsung was weighing making Bing the default search engine on its devices instead of Google’s search engine, prompting a “panic” inside the company, according to a report from the New York Times, citing internal messages and documents. (CNN has not reviewed the material.)

    In an effort to address the heightened competition, Google is said to be developing a new AI-powered search engine called Project “Magi,” according to the Times. The company, which reportedly has about 160 people working on the project, aims to change the way results appear in Google Search and will include an AI chat tool available to answer questions. The project is expected to be unveiled to the public next month, according to the report.

    In a statement sent to CNN, Google spokesperson Lara Levin said the company has been using AI for years to “improve the quality of our results” and “offer entirely new ways to search,” including with a feature rolled out last year that lets users search by combining images and words.

    “We’ve done so in a responsible and helpful way that maintains the high bar we set for delivering quality information,” Levin said. “Not every brainstorm deck or product idea leads to a launch, but as we’ve said before, we’re excited about bringing new AI-powered features to Search, and will share more details soon.”

    Samsung did not immediately respond to a request for comment.

    Google’s search engine has dominated the market for two decades. But the viral success of ChatGPT, which can generate compelling written responses to user prompts, appeared to put Google on defense for the first time in years.

    In March, Google began opening up access to Bard, its new AI chatbot tool that directly competes with ChatGPT and promises to help users outline and write essay drafts, plan a friend’s baby shower, and get lunch ideas based on what’s in the fridge.

    At an event in February, a Google executive also said the company will bring “the magic of generative AI” directly into its core search product and use artificial intelligence to pave the way for the “next frontier of our information products.”

    Microsoft, meanwhile, has invested in and partnered with OpenAI, the company behind ChatGPT, to deploy similar technology in Bing and other productivity tools. Other tech companies, including Meta, Baidu and IBM, as well as a slew of startups, are racing to develop and deploy AI-powered tools.

    But tech companies face risks in embracing this technology, which is known to make mistakes and “hallucinate” responses. That’s particularly true when it comes to search engines, a product that many use to find accurate and reliable information.

    Google was called out after a demo of Bard provided an inaccurate response to a question about a telescope. Shares of Google’s parent company Alphabet fell 7.7% that day, wiping $100 billion off its market value.

    Microsoft’s Bing AI demo was also called out for several errors, including an apparent failure to differentiate between the types of vacuums and even made up information about certain products.

    In an interview with 60 Minutes that aired on Sunday, Google and Alphabet CEO Sundar Pichai stressed the need for companies to “be responsible in each step along the way” as they build and release AI tools.

    For Google, he said, that means allowing time for “user feedback” and making sure the company “can develop more robust safety layers before we build, before we deploy more capable models.”

    He also expressed his belief that these AI tools will ultimately have broad impacts on businesses, professions and society.

    “This is going to impact every product across every company and so that’s, that’s why I think it’s a very, very profound technology,” he said. “And so, we are just in early days.”

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  • OpenAI CEO Sam Altman to testify before Congress | CNN Business

    OpenAI CEO Sam Altman to testify before Congress | CNN Business


    Washington
    CNN
     — 

    OpenAI CEO Sam Altman will testify before Congress next Tuesday as lawmakers increasingly scrutinize the risks and benefits of artificial intelligence, according to a Senate Judiciary subcommittee.

    During Tuesday’s hearing, lawmakers will question Altman for the first time since OpenAI’s chatbot, ChatGPT, took the world by storm late last year.

    The groundbreaking generative AI tool has led to a wave of new investment in AI, prompting a scramble among US policymakers who have called for guardrails and regulation amid fears of AI’s misuse.

    Also testifying Tuesday will be Christina Montgomery, IBM’s vice president and chief privacy and trust officer, as well as Gary Marcus, a former New York University professor and a self-described critic of AI “hype.”

    “Artificial intelligence urgently needs rules and safeguards to address its immense promise and pitfalls,” said Connecticut Democratic Sen. Richard Blumenthal, who chairs the Senate panel on privacy and technology. “This hearing begins our Subcommittee’s work in overseeing and illuminating AI’s advanced algorithms and powerful technology.”

    He added: “I look forward to working with my colleagues as we explore sensible standards and principles to help us navigate this uncharted territory.”

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  • Indian tech giant Wipro will invest $1 billion in AI, including training all staff | CNN Business

    Indian tech giant Wipro will invest $1 billion in AI, including training all staff | CNN Business


    Hong Kong
    CNN
     — 

    Wipro, one of India’s top providers of software services, wants everyone on staff to know how to use artificial intelligence.

    The IT giant announced Wednesday it would spend $1 billion on improving its artificial intelligence capabilities over the next three years, including training its entire staff of 250,000 people across 66 countries in the fast-moving technology.

    Wipro

    (WIT)     said it plans to run workshops “on AI fundamentals and responsible use of AI over the course of the next 12 months, and will continue to provide more customized, ongoing training for employees in AI-specialized roles.”

    Wipro is one of India’s biggest outsourcing firms, specializing in IT and consulting services. Its move comes as generative AI, the technology that underpins popular platforms such as ChatGPT, has taken the world by storm.

    “With the emergence of generative AI, we expect a fundamental shift up ahead, for all industries,” Wipro CEO Thierry Delaporte said in the statement.

    The company added it was launching a software system to integrate AI into every platform and tool used internally and offered to clients, as it capitalizes on its existing efforts in the space that started about a decade ago.

    Businesses are increasingly using AI to either bolster or replace tasks usually carried out by humans.

    This week, the CEO of an Indian startup made headlines for laying off about 90% of his support staff, saying the company had built an AI-powered chatbot that could process customer service requests faster than employees.

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  • First on CNN: Senators press Google, Meta and Twitter on whether their layoffs could imperil 2024 election | CNN Business

    First on CNN: Senators press Google, Meta and Twitter on whether their layoffs could imperil 2024 election | CNN Business



    CNN
     — 

    Three US senators are pressing Facebook-parent Meta, Google-parent Alphabet and Twitter about whether their layoffs may have hindered the companies’ ability to fight the spread of misinformation ahead of the 2024 elections.

    In a letter to the companies dated Tuesday, the lawmakers warned that reported staff cuts to content moderation and other teams could make it harder for the companies to fulfill their commitments to election integrity.

    “This is particularly troubling given the emerging use of artificial intelligence to mislead voters,” wrote Minnesota Democratic Sen. Amy Klobuchar, Vermont Democratic Sen. Peter Welch and Illinois Democratic Sen. Dick Durbin, according to a copy of the letter reviewed by CNN.

    Since purchasing Twitter in October, Elon Musk has slashed headcount by more than 80%, in some cases eliminating entire teams.

    Alphabet announced plans to cut roughly 12,000 workers across product areas and regions earlier this year. And Meta has previously said it would eliminate about 21,000 jobs over two rounds of layoffs, hitting across teams devoted to policy, user experience and well-being, among others.

    “We remain focused on advancing our industry-leading integrity efforts and continue to invest in teams and technologies to protect our community – including our efforts to prepare for elections around the world,” Andy Stone, a spokesperson for Meta, said in a statement to CNN about the letter.

    Alphabet and Twitter did not immediately respond to a request for comment.

    The pullback at those companies has coincided with a broader industry retrenchment in the face of economic headwinds. Peers such as Microsoft and Amazon have also trimmed their workforces, while others have announced hiring freezes.

    But the social media companies are coming under greater scrutiny now in part due to their role facilitating the US electoral process.

    Tuesday’s letter asked Meta CEO Mark Zuckerberg, Alphabet CEO Sundar Pichai and Twitter CEO Linda Yaccarino how each company is preparing for the 2024 elections and for mis- and disinformation surrounding the campaigns.

    To illustrate their concerns, the lawmakers pointed to recent changes at Alphabet-owned YouTube to allow the sharing of false claims that the 2020 presidential election was stolen, along with what they described as content moderation “challenges” at Twitter since the layoffs.

    The letter, which seeks responses by July 10, also asked whether the companies may hire more content moderation employees or contractors ahead of the election, and how the platforms may be specifically preparing for the rise of AI-generated deepfakes in politics.

    Already, candidates such as Florida Gov. Ron DeSantis appear to have used fake, AI-generated images to attack their opponents, raising questions about the risks that artificial intelligence could pose for democracy.

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  • The FTC should investigate OpenAI and block GPT over ‘deceptive’ behavior, AI policy group claims | CNN Business

    The FTC should investigate OpenAI and block GPT over ‘deceptive’ behavior, AI policy group claims | CNN Business


    Washington
    CNN
     — 

    An AI policy think tank wants the US government to investigate OpenAI and its wildly popular GPT artificial intelligence product, claiming that algorithmic bias, privacy concerns and the technology’s tendency to produce sometimes inaccurate results may violate federal consumer protection law.

    The Federal Trade Commission should prohibit OpenAI from releasing future versions of GPT, the Center for AI and Digital Policy (CAIDP) said Thursday in an agency complaint, and establish new regulations for the rapidly growing AI sector.

    The complaint seeks to bring the full force of the FTC’s broad consumer protection powers to bear against what CAIDP portrayed as a Wild West of runaway experimentation in which consumers pay for the unintended consequences of AI development. And it could prove to be an early test of the US government’s appetite for directly regulating AI, as tech-skeptic officials such as FTC Chair Lina Khan have warned of the dangers of unchecked data use for commercial purposes and of novel ways that tech companies may try to entrench monopolies.

    The FTC declined to comment. OpenAI didn’t immediately respond to a request for comment.

    “We believe that the FTC should look closely at OpenAI and GPT-4,” said Marc Rotenberg, CAIDP’s president and a longtime consumer protection advocate on technology issues.

    The complaint attacks a range of risks associated with generative artificial intelligence, which has captured the world’s attention after OpenAI’s ChatGPT — powered by an earlier version of the GPT product — was first released to the public late last year. Everyday internet users have used ChatGPT to write poetry, create software and get answers to questions, all within seconds and with surprising sophistication. Microsoft and Google have both begun to integrate that same type of AI into their search products, with Microsoft’s Bing running on the GPT technology itself.

    But the race for dominance in a seemingly new field has also produced unsettling or simply flat-out incorrect results, such as confident claims that Feb. 12, 2023 came before Dec. 16, 2022. In industry parlance, these types of mistakes are known as “AI hallucinations” — and they should be considered legally enforceable violations, CAIDP argued in its complaint.

    “Many of the problems associated with GPT-4 are often described as ‘misinformation,’ ‘hallucinations,’ or ‘fabrications.’ But for the purpose of the FTC, these outputs should best be understood as ‘deception,’” the complaint said, referring to the FTC’s broad authority to prosecute unfair or deceptive business acts or practices.

    The complaint acknowledges that OpenAI has been upfront about many of the limitations of its algorithms. For example, the white paper linked to GPT’s latest release, GPT-4, explains that the model may “produce content that is nonsensical or untruthful in relation to certain sources.” OpenAI also makes similar disclosures about the possibility that tools like GPT can lead to broad-based discrimination against minorities or other vulnerable groups.

    But in addition to arguing that those outcomes themselves may be unfair or deceptive, CAIDP also alleges that OpenAI has violated the FTC’s AI guidelines by trying to offload responsibility for those risks onto its clients who use the technology.

    The complaint alleges that OpenAI’s terms require news publishers, banks, hospitals and other institutions that deploy GPT to include a disclaimer about the limitations of artificial intelligence. That does not insulate OpenAI from liability, according to the complaint.

    Citing a March FTC advisory on chatbots, CAIDP wrote: “Recently [the] FTC stated that ‘Merely warning your customers about misuse or telling them to make disclosures is hardly sufficient to deter bad actors. Your deterrence measures should be durable, built-in features and not bug corrections or optional features that third parties can undermine via modification or removal.’”

    Artificial intelligence also stands to have vast implications for consumer privacy and cybersecurity, said CAIDP, issues that sit squarely within the FTC’s jurisdiction but that the agency has not studied in connection with GPT’s inner workings.

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  • AI pioneer quits Google to warn about the technology’s ‘dangers’ | CNN Business

    AI pioneer quits Google to warn about the technology’s ‘dangers’ | CNN Business


    New York
    CNN
     — 

    Geoffrey Hinton, who has been called the ‘Godfather of AI,’ confirmed Monday that he left his role at Google last week to speak out about the “dangers” of the technology he helped to develop.

    Hinton’s pioneering work on neural networks shaped artificial intelligence systems powering many of today’s products. He worked part-time at Google for a decade on the tech giant’s AI development efforts, but he has since come to have concerns about the technology and his role in advancing it.

    “I console myself with the normal excuse: If I hadn’t done it, somebody else would have,” Hinton told the New York Times, which was first to report his decision.

    In a tweet Monday, Hinton said he left Google so he could speak freely about the risks of AI, rather than because of a desire to criticize Google specifically.

    “I left so that I could talk about the dangers of AI without considering how this impacts Google,” Hinton said in a tweet. “Google has acted very responsibly.”

    Jeff Dean, chief scientist at Google, said Hinton “has made foundational breakthroughs in AI” and expressed appreciation for Hinton’s “decade of contributions at Google.”

    “We remain committed to a responsible approach to AI,” Dean said in a statement provided to CNN. “We’re continually learning to understand emerging risks while also innovating boldly.”

    Hinton’s decision to step back from the company and speak out on the technology comes as a growing number of lawmakers, advocacy groups and tech insiders have raised alarms about the potential for a new crop of AI-powered chatbots to spread misinformation and displace jobs.

    The wave of attention around ChatGPT late last year helped renew an arms race among tech companies to develop and deploy similar AI tools in their products. OpenAI, Microsoft and Google are at the forefront of this trend, but IBM, Amazon, Baidu and Tencent are working on similar technologies.

    In March, some prominent figures in tech signed a letter calling for artificial intelligence labs to stop the training of the most powerful AI systems for at least six months, citing “profound risks to society and humanity.” The letter, published by the Future of Life Institute, a nonprofit backed by Elon Musk,came just two weeks after OpenAI announced GPT-4, an even more powerful version of the technology that powers ChatGPT. In early tests and a company demo, GPT-4 was used to draft lawsuits, pass standardized exams and build a working website from a hand-drawn sketch.

    In the interview with the Times, Hinton echoed concerns about AI’s potential to eliminate jobs and create a world where many will “not be able to know what is true anymore.” He also pointed to the stunning pace of advancement, far beyond what he and others had anticipated.

    “The idea that this stuff could actually get smarter than people — a few people believed that,” Hinton said in the interview. “But most people thought it was way off. And I thought it was way off. I thought it was 30 to 50 years or even longer away. Obviously, I no longer think that.”

    Even before stepping aside from Google, Hinton had spoken publicly about AI’s potential to do harm as well as good.

    “I believe that the rapid progress of AI is going to transform society in ways we do not fully understand and not all of the effects are going to be good,” Hinton said in a 2021 commencement address at the Indian Institute of Technology Bombay in Mumbai. He noted how AI will boost healthcare while also creating opportunities for lethal autonomous weapons. “I find this prospect much more immediate and much more terrifying than the prospect of robots taking over, which I think is a very long way off.”

    Hinton isn’t the first Google employee to raise a red flag on AI. In July, the company fired an engineer who claimed an unreleased AI system had become sentient, saying he violated employment and data security policies. Many in the AI community pushed back strongly on the engineer’s assertion.

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  • AI industry and researchers sign statement warning of ‘extinction’ risk | CNN Business

    AI industry and researchers sign statement warning of ‘extinction’ risk | CNN Business


    Washington
    CNN
     — 

    Dozens of AI industry leaders, academics and even some celebrities on Tuesday called for reducing the risk of global annihilation due to artificial intelligence, arguing in a brief statement that the threat of an AI extinction event should be a top global priority.

    “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war,” read the statement published by the Center for AI Safety.

    The statement was signed by leading industry officials including OpenAI CEO Sam Altman; the so-called “godfather” of AI, Geoffrey Hinton; top executives and researchers from Google DeepMind and Anthropic; Kevin Scott, Microsoft’s chief technology officer; Bruce Schneier, the internet security and cryptography pioneer; climate advocate Bill McKibben; and the musician Grimes, among others.

    The statement highlights wide-ranging concerns about the ultimate danger of unchecked artificial intelligence. AI experts have said society is still a long way from developing the kind of artificial general intelligence that is the stuff of science fiction; today’s cutting-edge chatbots largely reproduce patterns based on training data they’ve been fed and do not think for themselves.

    Still, the flood of hype and investment into the AI industry has led to calls for regulation at the outset of the AI age, before any major mishaps occur.

    The statement follows the viral success of OpenAI’s ChatGPT, which has helped heighten an arms race in the tech industry over artificial intelligence. In response, a growing number of lawmakers, advocacy groups and tech insiders have raised alarms about the potential for a new crop of AI-powered chatbots to spread misinformation and displace jobs.

    Hinton, whose pioneering work helped shape today’s AI systems, previously told CNN he decided to leave his role at Google and “blow the whistle” on the technology after “suddenly” realizing “that these things are getting smarter than us.”

    Dan Hendrycks, director of the Center for AI Safety, said in a tweet Tuesday that the statement first proposed by David Kreuger, an AI professor at the University of Cambridge, does not preclude society from addressing other types of AI risk, such as algorithmic bias or misinformation.

    Hendrycks compared Tuesday’s statement to warnings by atomic scientists “issuing warnings about the very technologies they’ve created.”

    “Societies can manage multiple risks at once; it’s not ‘either/or’ but ‘yes/and,’” Hendrycks tweeted. “From a risk management perspective, just as it would be reckless to exclusively prioritize present harms, it would also be reckless to ignore them as well.”

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  • ‘Serious concerns’: Top companies raise alarm over Europe’s proposed AI law | CNN Business

    ‘Serious concerns’: Top companies raise alarm over Europe’s proposed AI law | CNN Business


    Dortmund, Germany
    CNN
     — 

    Dozens of Europe’s top business leaders have pushed back on the European Union’s proposed legislation on artificial intelligence, warning that it could hurt the bloc’s competitiveness and spur an exodus of investment.

    In an open letter sent to EU lawmakers Friday, C-suite executives from companies including Siemens

    (SIEGY)    , Carrefour

    (CRERF)    , Renault

    (RNLSY)     and Airbus

    (EADSF)     raised “serious concerns” about the EU AI Act, the world’s first comprehensive AI rules.

    Other prominent signatories include big names in tech, such as Yann LeCun, chief AI scientist of Meta

    (FB)    , and Hermann Hauser, founder of British chipmaker ARM.

    “In our assessment, the draft legislation would jeopardize Europe’s competitiveness and technological sovereignty without effectively tackling the challenges we are and will be facing,” the group of more than 160 executives said in the letter.

    They argue that the draft rules go too far, especially in regulating generative AI and foundation models, the technology behind popular platforms such as ChatGPT.

    Since the craze over generative AI began this year, technologists have warned of the potential dark side of systems that allow people to use machines to write college essays, take academic tests and build websites. Last month, hundreds of top experts warned about the risk of human extinction from AI, saying mitigating that possibility “should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”

    The EU proposal applies a broad brush to such software “regardless of [its] use cases,” and could push innovative companies and investors out of Europe because they would face high compliance costs and “disproportionate liability risks,” according to the executives.

    “Such regulation could lead to highly innovative companies moving their activities abroad” and investors withdrawing their capital from European AI, the group wrote.

    “The result would be a critical productivity gap between the two sides of the Atlantic.”

    The executives are calling for policymakers to revise the terms of the bill, which was agreed upon by European Parliament lawmakers earlier this month and is now being negotiated with EU member states.

    “In a context where we know very little about the real risks, the business model, or the applications of generative AI, European law should confine itself to stating broad principles in a risk-based approach,” the group wrote.

    The business leaders called for a regulatory board of experts to oversee these principles and ensure they can be continuously adapted to changes in the fast-moving technology.

    The group also urged lawmakers to work with their US counterparts, noting that regulatory proposals had also been made in the United States. EU lawmakers should try to “create a legally binding level playing field,” the executives wrote.

    If such action isn’t taken and Europe is constrained by regulatory demands, it could hurt the region’s international standing, the group suggested.

    “Like the invention of the Internet or the breakthrough of silicon chips, generative AI is the kind of technology that will be decisive for the performance capacity and therefore the significance of different regions,” it said.

    Tech experts have increasingly called for greater regulation of AI as it becomes more widely used. In recent months, the United States and China have also laid out plans to regulate the technology. Sam Altman, CEO of ChatGPT maker OpenAI, has used high-profile trips around the world in recent weeks to call for co-ordinated international regulation of AI.

    The EU rules are the world’s “first ever attempt to enact” legally binding rules that apply to different areas of AI, according to the European Parliament.

    Negotiators of the AI Act hope to reach an agreement before the end of the year, and once the final rules are adopted by the European Parliament and EU member states, the act will become law.

    As they stand now, the rules would ban AI systems deemed to be harmful, including real-time facial recognition systems in public spaces, predictive policing tools and social scoring systems, such as those in China.

    The Act also outlines transparency requirements for AI systems. For instance, systems such as ChatGPT would have to disclose that their content was AI-generated and provide safeguards against the generation of illegal content.

    Engaging in prohibited AI practices could lead to hefty fines: up to €40 million ($43 million) or an amount equal to up to 7% of a company’s worldwide annual turnover, whichever is higher.

    But penalties would be “proportionate” and consider the market position of small-scale providers, suggesting there could be some leniency for startups.

    Not everyone has pushed back on the legislation so far. Earlier this month, Digital Europe, a trade association that counts SAP

    (SAP)     and Ericsson

    (ERIC)     among its members, called the rules “a text we can work with.”

    “However, there remain some areas which can be improved to ensure Europe becomes a competitive hub for AI innovation,” the group said in a statement.

    Dragos Tudorache, a Romanian member of parliament who led the bill’s drafting, said he was convinced that those who signed the new letter “have not read the text but have rather reacted on the stimulus of a few.”

    “The only concrete suggestions made are in fact what the [draft] text now contains: an industry-led process for defining standards, governance with industry at the table, and a light regulatory regime that asks for transparency. Nothing else,” he said in a statement.

    “It is a pity that the aggressive lobby of a few is capturing other serious companies in the net, which unfortunately undermines the undeniable lead that Europe has taken.”

    Brando Benifei, an Italian member of parliament who also led the drafting of the legislation, told CNN “we will listen to all concerns and stakeholders when dealing with AI regulation, but we have a firm commitment to deliver clear and enforceable rules.”

    “Our work could positively affect the global conversation and direction when dealing with artificial intelligence and its impact on fundamental rights, without hindering the necessary pursuit of innovation,” he said.

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  • OpenAI’s Sam Altman launches Worldcoin crypto project | CNN Business

    OpenAI’s Sam Altman launches Worldcoin crypto project | CNN Business

    Worldcoin, a cryptocurrency project founded by OpenAI CEO Sam Altman, launched on Monday.

    The project’s core offering is its World ID, which the company describes as a “digital passport” to prove that its holder is a real human, not an AI bot. To get a World ID, a customer signs up to do an in-person iris scan using Worldcoin’s ‘orb’, a silver ball approximately the size of a bowling ball. Once the orb’s iris scan verifies the person is a real human, it creates a World ID.

    The company behind Worldcoin is San Francisco and Berlin-based Tools for Humanity.

    The project has 2 million users from its beta period, and with Monday’s launch, Worldcoin is scaling up “orbing” operations to 35 cities in 20 countries. As an enticement, those who sign up in certain countries will receive Worldcoin’s cryptocurrency token WLD.

    WLD’s price rose in early trading on Monday. On the world’s largest exchange, Binance, it hit a peak of $5.29 and at 1000 GMT was at $2.49 from a starting price of $0.15, having seen $25.1 million of trading volume, according to Binance’s website.

    Blockchains can store the World IDs in a way that preserves privacy and can’t be controlled or shut down by any single entity, co-founder Alex Blania told Reuters.

    The project says World IDs will be necessary in the age of generative AI chatbots like ChatGPT, which produce remarkably humanlike language. World IDs could be used to tell the difference between real people and AI bots online.

    Altman told Reuters Worldcoin also can help address how the economy will be reshaped by generative AI.

    “People will be supercharged by AI, which will have massive economic implications,” he said.

    One example Altman likes is universal basic income, or UBI, a social benefits program usually run by governments where every individual is entitled to payments. Because AI “will do more and more of the work that people now do,” Altman believes UBI can help to combat income inequality. Since only real people can have World IDs, it could be used to reduce fraud when deploying UBI.

    Altman said he thought a world with UBI would be “very far in the future” and he did not have a clear idea of what entity could dole out money, but that Worldcoin lays groundwork for it to become a reality.

    “We think that we need to start experimenting with things so we can figure out what to do,” he said.

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  • Keeleg to Launch and Offer Free Access to Its AI-Powered Legal Tool Until May 1 in Response to COVID-19

    Keeleg to Launch and Offer Free Access to Its AI-Powered Legal Tool Until May 1 in Response to COVID-19

    Press Release
    –


    updated: Apr 8, 2020


    SAN FRANCISCO, April 8, 2020 (Newswire.com)
    –
    Keeleg is pleased to announce the public launch and offer of free access to its AI-powered, self-help immigration legal tool in response to the COVID-19 outbreak.

    Every year, millions of people apply for legal permanent resident status, apply for naturalization to become U.S. citizens, or petition relatives to permanently immigrate to the United States of America. In addition to filing fees, the process can be quite expensive and complex. Through the help of Keeleg’s cloud-based, AI web application – dubbed Cato – users get qualified and prepare their own immigration applications or get connected to the best immigration attorneys around them. 

    Cato is a tool that combines artificial intelligence and the knowledge of award-winning attorneys to provide assistance for users with their immigration applications or search for the best immigration attorneys in their area. Cato’s knowledge currently covers hundreds of different immigration case scenarios, and new skills are being developed and added to cover other specialties and use cases.

    “After years spent in the industry, we noticed that something was broken and that there was and is a lack of access to legal knowledge and protection for all that need it. By leveraging cutting-edge technology like machine learning, natural language processing, natural language understanding, and natural language generation to power Cato, we aim to bridge this gap between supply and demand and make access to legal help and knowledge, easy, affordable, reliable, and time-saving for all,” said Anthony Remo Luna, CEO, and Co-founder of Keeleg.

    As a continuation of our mission to make legal access easy and to foster our commitment to people that seek legal knowledge, the company will be releasing a suite of other legal products dedicated to Chapter 7 individual bankruptcy filings and Wills and Trusts by Summer 2020. Users can sign up to get access to its early access program to try and prepare their applications for free. 

    About the company:

    Keeleg is dedicated to leveraging technology to make legal knowledge and help easy and available to everyone. The San Francisco-based company includes award-winning attorneys with over 30 years of experience in the private practice of law, software engineers, and tech enthusiasts and has created a new platform that leverages artificial intelligence to offer affordable, reliable and time-saving legal solutions.​

    Contact:

    Anthony Remo Luna, CEO, and Co-Founder

    social@keeleg.com ​

    Stay in the know, follow Keeleg on Facebook, Twitter, and LinkedIn.

    Source: Keeleg

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