New submitter Slash_Account_Dot shares a report from 404 Media, a new independent media company founded by technology journalists Jason Koebler, Emanuel Maiberg, Samantha Cole, and Joseph Cox: Customs and Border Protection (CBP), part of the Department of Homeland Security, has bought millions of dollars worth of software from a company that uses artificial intelligence to detect "sentiment and emotion" in online posts, according to a cache of documents obtained by 404 Media. CBP told 404 Media it is using technology to analyze open source information related to inbound and outbound travelers who the agency believes may threaten public safety, national security, or lawful trade and travel. In this case, the specific company called Fivecast also offers "AI-enabled" object recognition in images and video, and detection of "risk terms and phrases" across multiple languages, according to one of the documents. Marketing materials promote the software's ability to provide targeted data collection from big social platforms like Facebook and Reddit, but also specifically names smaller communities like 4chan, 8kun, and Gab. To demonstrate its functionality, Fivecast promotional materials explain how the software was able to track social media posts and related Persons-of-Interest starting with just "basic bio details" from a New York Times Magazine article about members of the far-right paramilitary Boogaloo movement. 404 Media also obtained leaked audio of a Fivecast employee explaining how the tool could be used against trafficking networks or propaganda operations. The news signals CBP's continued use of artificial intelligence in its monitoring of travelers and targets, which can include U.S. citizens. This latest news shows that CBP has deployed multiple AI-powered systems, and provides insight into what exactly these tools claim to be capable of while raising questions about their accuracy and utility. "CBP should not be secretly buying and deploying tools that rely on junk science to scrutinize people's social media posts, claim to analyze their emotions, and identify purported 'risks,'" said Patrick Toomey, deputy director of the ACLU's National Security Project. "The public knows far too little about CBP's Counter Network Division, but what we do know paints a disturbing picture of an agency with few rules and access to an ocean of sensitive personal data about Americans. The potential for abuse is immense."

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Germany plans to almost double its public funding for artificial intelligence research to nearly a billion euros over the next two years, as it attempts to close a skills gap with sector leaders China and the United States. Reuters reports: The target, announced by research minister Bettina Stark-Watzinger on Wednesday, is modest compared with the $3.3 billion that the U.S. government spent on AI research in 2022 according to a Stanford University report. The AI push comes as Germany attempts to turn around its economy from a recession while the country's key autos and chemicals industries face stiff competition from upstart electric-vehicle makers and high energy costs. Germany envisages creating 150 new university labs for AI research, expanding data centres and making accessible the kind of complex public data sets from which AI techniques can tease out new insights: a major undertaking in a country where cash transactions are common and the fax is not yet extinct. It is dwarfed by private AI spending in the U.S., which reached $47.4 billion in 2022, almost double Europe's total spend, and well ahead of China's $13.4 billion, the Stanford report found. But Stark-Watzinger said that Europe's emerging regulatory framework, which places greater weight on privacy and personal safety than those in other regions, could attract players to Germany, as could cooperation within the European Union. "We have AI that is explainable, trustworthy and transparent," she said. "That's a competitive advantage." Simpler regulations would promote private research spending, she added.

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Zadie Smith, Stephen King, Rachel Cusk and Elena Ferrante are among thousands of authors whose pirated works have been used to train artificial intelligence tools, a story in The Atlantic has revealed. The Guardian: More than 170,000 titles were fed into models run by companies including Meta and Bloomberg, according to an analysis of "Books3" -- the dataset harnessed by the firms to build their AI tools. Books3 was used to train Meta's LLaMA, one of a number of large language models -- the best-known of which is OpenAI's ChatGPT -- that can generate content based on patterns identified in sample texts. The dataset was also used to train Bloomberg's BloombergGPT, EleutherAI's GPT-J and it is "likely" it has been used in other AI models. The titles contained in Books3 are roughly one-third fiction and two-thirds nonfiction, and the majority were published within the last two decades. Along with Smith, King, Cusk and Ferrante's writing, copyrighted works in the dataset include 33 books by Margaret Atwood, at least nine by Haruki Murakami, nine by bell hooks, seven by Jonathan Franzen, five by Jennifer Egan and five by David Grann. Books by George Saunders, Junot DÃaz, Michael Pollan, Rebecca Solnit and Jon Krakauer also feature, as well as 102 pulp novels by Scientology founder L Ron Hubbard and 90 books by pastor John MacArthur. The titles span large and small publishers including more than 30,000 published by Penguin Random House, 14,000 by HarperCollins, 7,000 by Macmillan, 1,800 by Oxford University Press and 600 by Verso.

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Shares of Nvidia rose 6.7% to hit a new all-time high on Thursday, after the company unveiled a $25 billion buyback plan, coupled with record quarterly revenue powered by strong demand for its artificial intelligence (AI)-focused chips. From a report: Nvidia generated revenue of $13.51 billion in the second quarter and predicted that revenue would reach $16 billion in the third quarter, the company reported late on Wednesday. Both results exceeded analyst expectations, as per Refinitiv. Santa-Clara, California-based Nvidia also said it would buyback $25 billion worth of its shares. Nvidia's stock rose as high as $502.66, surpassing a record high hit earlier this week, and further entrenching itself as the first trillion-dollar chip maker. It pared some of those gains and was last up 1.8% at $479.82. The stock is now up 227% year-to-date.

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Meta, intent on making a splash in a generative AI space rife with competition, is on something of an open source tear. From a report: Following the release of AI models for generating text, translating languages and creating audio, the company today open sourced Code Llama, a machine learning system that can generate and explain code in natural language -- specifically English. Akin to GitHub Copilot and Amazon CodeWhisperer, as well as open source AI-powered code generators like StarCoder, StableCode and PolyCoder, Code Llama can complete code and debug existing code across a range of programming languages, including Python, C++, Java, PHP, Typescript, C# and Bash. "At Meta, we believe that AI models, but large language models for coding in particular, benefit most from an open approach, both in terms of innovation and safety," Meta wrote in a blog post shared with TechCrunch. "Publicly available, code-specific models can facilitate the development of new technologies that improve peoples' lives. By releasing code models like Code Llama, the entire community can evaluate their capabilities, identify issues and fix vulnerabilities." Code Llama, which is available in several flavors, including a version optimized for Python and a version fine-tuned to understand instructions (e.g. "Write me a function that outputs the fibonacci sequence"), is based on the Llama 2 text-generating model that Meta open sourced earlier this month. While Llama 2 could generate code, it wasn't necessarily good code -- certainly not up to the quality a purpose-built model like Copilot could produce.

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samleecole shares a report from 404 Media, a new independent media company founded by technology journalists Jason Koebler, Emanuel Maiberg, Samantha Cole, and Joseph Cox: On the Discord server for Mage Space, a popular platform for creating AI-generated images, is a list of channels where members share adult content. There are channels for furries, hardcore and softcore porn, and anime. At the bottom of the list is a channel named "other-nsfw" which includes a few distinct erotic genres that don't fit neatly into any of the others. Mostly, it's gore, violence, and bizarre, in hyperrealistic erotic imagery entirely generated by AI. The images people create, and the long, meandering prompts they write, are a rich text that could offer a glimpse into where sexuality in the internet age is taking us next, and how we're steering it. There's no shortage of fetish content on the internet, which might make the above statement sound ridiculous and unbelievable. Online, fetishists find their people and set to work making more of what they like, whether it's elaborate role-playing cosplays of themselves as sexy airplanes, blueberries, or slime monsters. Sometimes it pushes the bounds of the sane and legal: crush, fart, and scat porn all thrive online, and snuff films have been popular since before the internet existed. But with the rise in popularity of generative AI, and wildly popular sites like Mage.Space that let users generate anything they set their minds to, the limits are literally our own imaginations. With that power, people are wrangling images out of the AI that are on the edge of what's popular, let alone possible in the porn world. "This conversation we're having is literally on the edge of knowledge, nobody's writing about this in academia right now," Thomas Brooks, assistant professor of psychology at New Mexico Highlands University, told me. "Everybody's still kind of caught up in deepfakes. And they haven't quite grappled with generative AI yet." "You, as the individual porn consumer, can now create your own special little fantasy and your own technological, disembodied sexuality," said Brooks, in what he refers to as gamified pornography. "There's an internal motivation to solve the puzzle and get the prize. But then there's an external motivation of, 'can I come up with this crazy thing to show my anonymous internet friends.'" "We're letting technology become mediators of our different psychosocial expressions," Brooks added.

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According to Windows Central, Microsoft might be bringing AI capabilities to a handful of Windows 11 apps, including Photos, Snipping Tool, and Paint. "Some of this functionality will require dedicated hardware, such as an NPU (neural processing unit) or VPU (vision processing unit,) while others may not," notes the report. From the report: For the Photos app, Microsoft is working on an AI functionality that would allow the app to identify objects or people in photos and enable the ability to cut out and paste those elements elsewhere. This is a functionality that iOS and Android have had for some time, so it's no surprise to hear that Microsoft is also working to bring it to Windows. Regarding the Snipping Tool, my sources say the company wants to incorporate OCR (optical character recognition) technology to enable Windows to identify text in screenshots for faster clipboard copying. Microsoft is also working on bringing OCR to the Camera app, allowing users to select text in a photo taken on the device. Lastly, my sources say Microsoft has also been experimenting with bringing generative AI to the Windows 11 Paint app. Users could ask Paint to create a canvas based on criteria set out by the user, similar to how Bing Image Creator currently works. Sources say the Paint AI integration will be based on that same Bing technology.

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An anonymous reader quotes a report from Ars Technica: On Tuesday, Meta announced SeamlessM4T, a multimodal AI model for speech and text translations. As a neural network that can process both text and audio, it can perform text-to-speech, speech-to-text, speech-to-speech, and text-to-text translations for "up to 100 languages," according to Meta. Its goal is to help people who speak different languages communicate with each other more effectively. Continuing Meta's relatively open approach to AI, Meta is releasing SeamlessM4T under a research license (CC BY-NC 4.0) that allows developers to build on the work. They're also releasing SeamlessAlign, which Meta calls "the biggest open multimodal translation dataset to date, totaling 270,000 hours of mined speech and text alignments." That will likely kick-start the training of future translation AI models from other researchers. Among the features of SeamlessM4T touted on Meta's promotional blog, the company says that the model can perform speech recognition (you give it audio of speech, and it converts it to text), speech-to-text translation (it translates spoken audio to a different language in text), speech-to-speech translation (you feed it speech audio, and it outputs translated speech audio), text-to-text translation (similar to how Google Translate functions), and text-to-speech translation (feed it text and it will translate and speak it out in another language). Each of the text translation functions supports nearly 100 languages, and the speech output functions support about 36 output languages.

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VMware on Tuesday said it has developed a new set of software tools in partnership with Nvidia aimed at businesses which want to develop generative artificial intelligence in their own data centers rather than the cloud. From a report: VMware, which is close to being acquired by chip firm Broadcom in a $69 billion deal, makes software that corporations use to run their privately owned data centers. For more than two decades, VMware's tools have been used by businesses to divvy up the computing power in central processor chips, which are the brains of traditional servers. On Tuesday, the company released a new set of tools help designed to manage Nvidia chips, which dominate the market for AI systems that can read and write text in human-like ways.

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S&P 500 groups from a burrito maker to a cruise-ship operator tout promise of emerging technology. From a report: The rapid rise of artificial intelligence has sparked excitement in industries from fast food to theme parks, with executives rushing to show how they will be among beneficiaries of the new technology. Analysis of their regulatory filings, however, suggests much of the talk is only talk. Almost 40 per cent of companies in the blue-chip S&P 500 index have mentioned AI or related terms in earnings calls in the latest financial quarter, according to data from Alphasense. Less than one in six -- 16 per cent -- mentioned it in their corresponding regulatory filings, highlighting how AI has yet to make a material impact for the vast majority of companies. "The joke out there was that all you had to do last quarter was say 'AI' and your stock would pop immediately," said Bryant VanCronkhite, a senior portfolio manager at Allspring Global Investments, the $550bn asset manager. "Some companies are saying they're doing AI when they're really just trying to figure out the basics of automation. The pretenders will be shown up for that at some point," he said.

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A U.S. court in Washington, D.C. today has ruled that artwork created by artificial intelligence without any human input cannot be copyrighted under U.S. law. Reuters reports: Only works with human authors can receive copyrights, U.S. District Judge Beryl Howell said on Friday, affirming the Copyright Office's rejection of an application filed by computer scientist Stephen Thaler on behalf of his DABUS system. The Friday decision follows losses for Thaler on bids for U.S. patents covering inventions he said were created by DABUS, short for Device for the Autonomous Bootstrapping of Unified Sentience. Thaler has also applied for DABUS-generated patents in other countries including the United Kingdom, South Africa, Australia and Saudi Arabia with limited success.

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The rapid rise of generative AI has stoked anxieties across disciplines. High school teachers and college professors are worried about the potential for cheating. News organizations have been caught with shoddy articles penned by AI. And now, peer-reviewed academic journals are grappling with submissions in which the authors may have used generative AI to write outlines, drafts, or even entire papers, but failed to make the AI use clear. Wired: Journals are taking a patchwork approach to the problem. The JAMA Network, which includes titles published by the American Medical Association, prohibits listing artificial intelligence generators as authors and requires disclosure of their use. The family of journals produced by Science does not allow text, figures, images, or data generated by AI to be used without editors' permission. PLOS ONE requires anyone who uses AI to detail what tool they used, how they used it, and ways they evaluated the validity of the generated information. Nature has banned images and videos that are generated by AI, and it requires the use of language models to be disclosed. Many journals' policies make authors responsible for the validity of any information generated by AI. Experts say there's a balance to strike in the academic world when using generative AI -- it could make the writing process more efficient and help researchers more clearly convey their findings. But the tech -- when used in many kinds of writing -- has also dropped fake references into its responses, made things up, and reiterated sexist and racist content from the internet, all of which would be problematic if included in published scientific writing. If researchers use these generated responses in their work without strict vetting or disclosure, they raise major credibility issues. Not disclosing use of AI would mean authors are passing off generative AI content as their own, which could be considered plagiarism. They could also potentially be spreading AI's hallucinations, or its uncanny ability to make things up and state them as fact.

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Generative AI probably will not take over most people's jobs entirely but will instead automate a portion of their duties, freeing them up to do other tasks, a U.N. study said on Monday. From a report: It warned, however, that clerical work would likely be the hardest hit, potentially hitting female employment harder, given women's over-representation in this sector, especially in wealthier countries. An explosion of interest in generative AI and its chatbot applications has sparked fears over job destruction, similar to those that emerged when the moving assembly line was introduced in the early 1900s and after mainframe computers in the 1950s. However, the study produced by the International Labour Organization concludes that: "Most jobs and industries are only partially exposed to automation and are thus more likely to be complemented rather than substituted by AI." This means that "the most important impact of the technology is likely to be of augmenting work," it adds. The occupation likely to be most affected by GenAI -- capable of generating text, images, sounds, animation, 3D models and other data -- is clerical work, where about a quarter of tasks are highly exposed to potential automation, the study says.

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IBM's business research organization (the IBM Institute for Business Value), released results from a new global study. Its conclusion? "The world of work has changed compared to even six months ago." Executives surveyed estimate that 40% of their workforce will need to reskill as a result of implementing AI and automation over the next three years. That could translate to 1.4 billion of the 3.4 billion people in the global workforce, according to World Bank statistics. Respondents also report that building new skills for existing employees is a top talent issue. Workers at all levels could feel the effects of generative AI, but entry-level employees are expected to see the biggest shift. Seventy-seven percent of executive respondents say entry-level positions are already seeing the effects of generative AI and that will intensify in the next few years. Only 22% of respondents report the same for executive or senior management roles. AI can open up more possibilities for employees by enhancing their capabilities. In fact, 87% of executives surveyed believe employees are more likely to be augmented than replaced by generative AI. That varies across functions — 97% of executives think employees in procurement are more likely to be augmented than replaced, compared to 93% for employees in risk and compliance, 93% for finance, 77% for customer service and 73% for marketing... With AI primed to take on more manual and repetitive tasks, employees surveyed report engaging in impactful work is the top factor they care about beyond compensation and job security — more important than flexible work arrangements, growth opportunities and equity. On top of that, nearly half of employees surveyed believe the work they do is far more important than who they work for or who they work with regularly... ZDNet explains the report's methodology: To find answers to these questions, IBM pulled data from two prior studies, one survey of 3,000 C-level executives across 28 countries and another of 21,000 workers in 22 nations... According to IBM IBV research, tech adopters who successfully reskill to adapt "technology-driven job changes report a revenue growth rate premium of 15% on average" and those who focus on AI "see a 36% higher revenue growth rate than their peers." "AI won't replace people — but people who use AI will replace people who don't," said IBM in the report. The new skill paradigm shifts technical skills that were typically prioritized, such as proficiency in STEM, which was the most critical skill in 2016, to the least priority in 2023. The reason is that now tools like ChatGPT allow workers to do more with less knowledge, as noted by the report. Now there is a bigger emphasis on people skills such as team management, the ability to work effectively in team environments, the ability to communicate effectively, and the willingness to be adaptable to change, which all shifted to top the most critical skills required of the workforce in 2023. The report ultimately suggests HR leaders redesign work and operating models "to shepherd their organizations into the future."

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Professors now fear that ignoring or discouraging the use of AI "will be a disservice to students and leave many behind when entering the workforce," reports CNN: According to a study conducted by higher education research group Intelligent.com, about 30% of college students used ChatGPT for schoolwork this past academic year and it was used most in English classes. Jules White, an associate professor of computer science at Vanderbilt University, believes professors should be explicit in the first few days of school about the course's stance on using AI and that it should be included it in the syllabus. "It cannot be ignored," he said. "I think it's incredibly important for students, faculty and alumni to become experts in AI because it will be so transformative across every industry in demand so we provide the right training." Vanderbilt is among the early leaders taking a strong stance in support of generative AI by offering university-wide training and workshops to faculty and students. A three-week 18-hour online course taught by White this summer was taken by over 90,000 students, and his paper on "prompt engineering" best practices is routinely cited among academics. "The biggest challenge is with how you frame the instructions, or 'prompts,'" he said. "It has a profound impact on the quality of the response and asking the same thing in various ways can get dramatically different results. We want to make sure our community knows how to effectively leverage this." Prompt engineering jobs, which typically require basic programming experience, can pay up to $300,000. Although White said concerns around cheating still exist, he believes students who want to plagiarize can still seek out other methods such as Wikipedia or Google searches. Instead, students should be taught that "if they use it in other ways, they will be far more successful...." Some schools are hiring outside experts to teach both faculty and students about how to use AI tools.

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Thursday a Cruise robotaxi drove through a green light in front of an oncoming firetruck "with its forward facing red lights and siren on, the San Francisco Police Department said in a statement to Reuters." The San Francisco Chronicle adds that the Cruise vehicle's passenger "passenger was treated on the scene and shared taken in an ambulance to a hospital, though the company said the injuries were 'non-severe.' The company added in an email to the Chronicle that the passenger was on the scene walking around and talking to emergency responders before being taken to the hospital." By Friday California's Department of Motor Vehicles said it was investigating the "concerning incidents," according to TechCrunch. But it adds that the AV-regulating agency also "called for Cruise to reduce its fleet by 50% and have no more than 50 driverless vehicles in operation during the day and 150 driverless vehicles in operation at night until the investigation is complete. Cruise told TechCrunch it is complying with the request. Cruise also issued a blog post giving the company's perspective of how and why the crash occurred. Cruise's blog post points out the firetruck was unexpectedly in the oncoming lane of traffic that night. But meanwhile, elsewhere in the city... The same night, a Cruise car collided with another vehicle at 26th and Mission streets. The company said another driverless car, which had no passengers, entered the intersection on a green light when another car ran a red light at high speed. The driverless car detected the other car and braked, according to Cruise, but the two cars still collided... The collisions came a day after city officials asked state regulators to halt their approval of robotaxi companies' unrestricted commercial expansion in the city, citing concerns about how the robotaxis' behavior impacts emergency responders. Last weekend Cruise was also criticized after "as many as 10 Cruise driverless taxis blocked two narrow streets," reports the Los Angeles Times: Human-driven cars sat stuck behind and in between the robotaxis, which might as well have been boulders: no one knew how to move them.... The cars sat motionless with parking lights flashing for 15 minutes, then woke up and moved on, witnesses said. Cruise "blamed cellphone carriers for the problem," according to the article — arguing that a music festival overloaded the cellphone network they used to communicate with their vehicles. Thanks to Slashdot reader jjslash for sharing the story.

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An anonymous reader quotes a report from Ars Technica: Late last week, MSN.com's Microsoft Travel section posted an AI-generated article about the "cannot miss" attractions of Ottawa that includes the Ottawa Food Bank, a real charitable organization that feeds struggling families. In its recommendation text, Microsoft's AI model wrote, "Consider going into it on an empty stomach." Titled, "Headed to Ottawa? Here's what you shouldn't miss!," (archive here) the article extols the virtues of the Canadian city and recommends attending the Winterlude festival (which only takes place in February), visiting an Ottawa Senators game, and skating in "The World's Largest Naturallyfrozen Ice Rink" (sic). As the No. 3 destination on the list, Microsoft Travel suggests visiting the Ottawa Food Bank, likely drawn from a summary found online but capped with an unfortunate turn of phrase: "The organization has been collecting, purchasing, producing, and delivering food to needy people and families in the Ottawa area since 1984. We observe how hunger impacts men, women, and children on a daily basis, and how it may be a barrier to achievement. People who come to us have jobs and families to support, as well as expenses to pay. Life is already difficult enough. Consider going into it on an empty stomach." That last line is an example of the kind of empty platitude (or embarrassing mistaken summary) one can easily find in AI-generated writing, inserted thoughtlessly because the AI model behind the article cannot understand the context of what it is doing. The article is credited to "Microsoft Travel," and it is likely the product of a large language model (LLM), a type of AI model trained on a vast scrape of text found on the Internet.

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Lawyers for the New York Times are deciding whether to sue OpenAI to protect the intellectual property rights associated with its reporting. NPR reports: For weeks, the Times and the maker of ChatGPT have been locked in tense negotiations over reaching a licensing deal in which OpenAI would pay the Times for incorporating its stories in the tech company's AI tools, but the discussions have become so contentious that the paper is now considering legal action. A lawsuit from the Times against OpenAI would set up what could be the most high-profile legal tussle yet over copyright protection in the age of generative AI. A top concern for the Times is that ChatGPT is, in a sense, becoming a direct competitor with the paper by creating text that answers questions based on the original reporting and writing of the paper's staff. If, when someone searches online, they are served a paragraph-long answer from an AI tool that refashions reporting from the Times, the need to visit the publisher's website is greatly diminished, said one person involved in the talks. So-called large language models like ChatGPT have scraped vast parts of the internet to assemble data that inform how the chatbot responds to various inquiries. The data-mining is conducted without permission. Whether hoovering up this massive repository is legal remains an open question. If OpenAI is found to have violated any copyrights in this process, federal law allows for the infringing articles to be destroyed at the end of the case. In other words, if a federal judge finds that OpenAI illegally copied the Times' articles to train its AI model, the court could order the company to destroy ChatGPT's dataset, forcing the company to recreate it using only work that it is authorized to use. Federal copyright law also carries stiff financial penalties, with violators facing fines up to $150,000 for each infringement "committed willfully." Yesterday, Adweek reported that the New York Times updated its Terms of Service to prohibit its content from being used in the development of "any software program, including, but not limited to, training a machine learning or artificial intelligence (AI) system."

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An anonymous reader quotes a report from Engadget: The Associated Press published standards today for generative AI use in its newsroom. The organization, which has a licensing agreement with ChatGPT maker OpenAI, listed a fairly restrictive and common-sense list of measures around the burgeoning tech while cautioning its staff not to use AI to make publishable content. Although nothing in the new guidelines is particularly controversial, less scrupulous outlets could view the AP's blessing as a license to use generative AI more excessively or underhandedly. The organization's AI manifesto underscores a belief that artificial intelligence content should be treated as the flawed tool that it is -- not a replacement for trained writers, editors and reporters exercising their best judgment. "We do not see AI as a replacement of journalists in any way," the AP's Vice President for Standards and Inclusion, Amanda Barrett, wrote in an article about its approach to AI today. "It is the responsibility of AP journalists to be accountable for the accuracy and fairness of the information we share." The article directs its journalists to view AI-generated content as "unvetted source material," to which editorial staff "must apply their editorial judgment and AP's sourcing standards when considering any information for publication." It says employees may "experiment with ChatGPT with caution" but not create publishable content with it. That includes images, too. "In accordance with our standards, we do not alter any elements of our photos, video or audio," it states. "Therefore, we do not allow the use of generative AI to add or subtract any elements." However, it carved an exception for stories where AI illustrations or art are a story's subject -- and even then, it has to be clearly labeled as such. Barrett warns about AI's potential for spreading misinformation. To prevent the accidental publishing of anything AI-created that appears authentic, she says AP journalists "should exercise the same caution and skepticism they would normally, including trying to identify the source of the original content, doing a reverse image search to help verify an image's origin, and checking for reports with similar content from trusted media." To protect privacy, the guidelines also prohibit writers from entering "confidential or sensitive information into AI tools." Although that's a relatively common-sense and uncontroversial set of rules, other media outlets have been less discerning. [...] It's not hard to imagine other outlets -- desperate for an edge in the highly competitive media landscape -- viewing the AP's (tightly restricted) AI use as a green light to make robot journalism a central figure in their newsrooms, publishing poorly edited / inaccurate content or failing to label AI-generated work as such. Further reading: NYT Prohibits Using Its Content To Train AI Models

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A paper from U.K.-based researcher suggests that OpenAI's ChatGPT has a liberal bias, highlighting how artificial intelligence companies are struggling to control the behavior of the bots even as they push them out to millions of users worldwide. From a report: The study, from researchers at the University of East Anglia, asked ChatGPT to answer a survey on political beliefs as it believed supporters of liberal parties in the United States, United Kingdom and Brazil might answer them. They then asked ChatGPT to answer the same questions without any prompting, and compared the two sets of responses. The results showed a "significant and systematic political bias toward the Democrats in the U.S., Lula in Brazil, and the Labour Party in the U.K.," the researchers wrote, referring to Luiz Inacio Lula da Silva, Brazil's leftist president.

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