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"Writing in the journal Science, Summerfield and colleagues from Google DeepMind report how they built the "Habermas Machine" - an AI system named after the German philosopher Jürgen Habermas. The system works by taking written views of individuals within a group and using them to generate a set of group statements designed to be acceptable to all. Group members can then rate these statements, a process that not only trains the system but allows the statement with the greatest endorsement to be selected."

"ChatGPT can help with reframing thoughts and situations, similar to cognitive behavioural therapy - but "some clients can start to use it as a substitute for therapy", Masterson says. "I've had clients telling me they've already processed on their own, because of what they've read - it's incredibly dangerous." She has had to ask some clients to cease their self-experiments while in treatment with her. "It's about you and me in the room," she says. "You just cannot have that with text - let alone a conglomeration of lots of other people's texts." Self-directed chatbot therapy also risks being counterproductive, shrinking the area of inquiry. "It's quite affirmative; I challenge clients," says Masterson. ChatGPT could actually cement patterns as it draws, over and again, from the same database: "The more you try to refine it, the more refined the message becomes.""

"But do these options make Bluesky a more prosocial experience? Prosocial design is a "set of design patterns, features and processes which foster healthy interactions between individuals and which create the conditions for those interactions to thrive by ensuring individuals' safety, wellbeing and dignity," according to the Prosocial Design Network. Giving users control over their feeds is a step in this direction, but it's not a new concept. The Panotpykon Foundation's Safe by Default briefing advocates for human-centric recommender systems that prioritize conscious user choice and empowerment. They propose features like: Sliders for content preferences (e.g., informative vs. entertaining content), A "hard stop" button to suppress unwanted content, and Prompts for users to define their interests or preferences."

"One company working on that is Denmark's Corti, which has developed AI that can listen to healthcare consultations, either over the phone or in person, and suggest follow-up questions, prompts, treatment options, as well as automating note taking. Corti says its technology processes about 150,000 patient interactions per day across hospitals, GP surgeries and healthcare institutions across Europe and the US, totalling about 100 million encounters per year. "The idea is the physician can spend more time with a patient," says Lars Maaløe, co-founder and chief technology officer at Corti. He says the technology can suggest questions based on previous conversations it has heard in other healthcare situations."

"A recent incident at a company has led to the dismissal of half its HR team after a manager discovered a significant flaw in the applicant tracking system (ATS) used for hiring. This system, intended to improve the recruitment process, was automatically rejecting all job candidates, including the manager's own application."

" 'Serious concerns' about DWP's use of AI to read correspondence from benefit claimants White mail system handles 'highly sensitive personal data' and people not told it is processing their information AI prototypes for UK welfare system dropped as officials lament 'false starts' Robert Booth UK technology editor Mon 27 Jan 2025 05.00 GMT Share When your mailbag brims with 25,000 letters and emails every day, deciding which to answer first is daunting. When lurking within are pleas for help from some of the country's most vulnerable people, the stakes only get higher. That is the challenge facing the Department for Work and Pensions (DWP) as correspondence floods in from benefit applicants and claimants - of which there are more than 20 million, including pensioners, in the UK. The DWP thinks it may have found a solution in using artificial intelligence to read it all first - including handwritten missives. Human reading used to take weeks and could leave the most vulnerable people waiting for too long for help. But "white mail" is an AI that can do the same work in a day and supposedly prioritise the most vulnerable cases for officials to get to first."

"Anthropic has an "AI policy" for job candidates that discourages the technology from being used during the application process. The company says it wants to field candidates' human communication skills. Anthropic is known for its AI innovations-but the company doesn't want job candidates using the technology."

"It is not simply that AI lacks originality; after all, so too does most human art. The problem runs far deeper: the essence of art is lost in the process of its machinic invention and, with it, the very possibility of a democratic society is put under threat. Art is a defining human endeavor, not just for those formally called "artists" but for everyone. It is not merely about arranging colors, forms, sounds or words into pleasing products. The essence of art inheres in its making: the belief that, in the act of creating art, one imbues an object with something ineffable from within one's own being. This belief, in turn, allows for another person to project their own sense of themselves onto the work and, in doing so, to commune with the artist at a level words cannot access."

"From this fact about language development, Chomsky posited an (abstract) innate module for language learning - not processing. From a neurobiological standpoint, the brain has to be ready to understand language from birth. While there are plenty of examples of language specialization in infants, the precise neural mechanisms are still unknown, but not unknowable. But objects of study become unknowable when scientific terms are misused or misapplied. And this is precisely the danger: conflating AI with human understanding can lead to dangerous consequences."

By connecting laptops and smartphones to enormous, remote computing banks, cloud computing gives us access to more processing power than could ever fit in any one of those devices, along with access to all our data and documents from anywhere in the world.

"Computer Vision and Pattern Recognition shows that these watermarks can be reliably detected and undetectably erased by software."

"Machines, it would seem, are about to get an awful lot chattier. And we've got our work cut out for us to make sure the conversation's meaningful."

"Most people who use AI-powered translation tools do so for commonplace, relatively unimportant tasks like understanding a single phrase or quote. Those basic services won't do for an enterprise offering technical documents in 15 languages - but Lengoo's custom machine translation models might just do the trick. And with a new $20 million B round, they may be able to build a considerable lead. The translation business is a big one, in the billions, and isn't going anywhere. It's simply too common a task to need to release a document, piece of software or live website in multiple languages - perhaps dozens."

"Some have argued for much greater policing of content online, and companies like Facebook, YouTube, and Twitter have talked about hiring thousands to staff up their moderation teams.8 8. April Glaser, Want a Terrible Job? Facebook and Google May Be Hiring,Slate (Jan. 18, 2018), https://slate.com/technology/2018/01/facebook-and-google-are-building-an-army-of-content-moderators-for-2018.html (explaining that major platforms have hired or have announced plans to hire thousands, in some cases more than ten thousand, new content moderators).On the other side of the coin, companies are increasingly investing in more and more sophisticated technology help, such as artificial intelligence, to try to spot contentious content earlier in the process.9 9. Tom Simonite, AI Has Started Cleaning Up Facebook, But Can It Finish?,Wired (Dec. 18, 2018), https://www.wired.com/story/ai-has-started-cleaning-facebook-can-it-finish/.Others have argued that we should change Section 230 of the CDA, which gives platforms a free hand in determining how they moderate (or how they don't moderate).10 10. Gohmert Press Release, supra note 7 ("Social media companies enjoy special legal protections under Section 230 of the Communications Act of 1934, protections not shared by other media. Instead of acting like the neutral platforms they claim to be in order obtain their immunity, these companies have turned Section 230 into a license to potentially defraud and defame with impunity… Since there still appears to be no sincere effort to stop this disconcerting behavior, it is time for social media companies to be liable for any biased and unethical impropriety of their employees as any other media company. If these companies want to continue to act like a biased medium and publish their own agendas to the detriment of others, they need to be held accountable."); Eric Johnson, Silicon Valley's Self-Regulating Days "Probably Should Be" Over, Nancy Pelosi Says, Vox (Apr. 11, 2019), https:/

"After a decade or so of the general sentiment being in favor of the internet and social media as a way to enable more speech and improve the marketplace of ideas, in the last few years the view has shifted dramatically-now it seems that almost no one is happy. Some feel that these platforms have become cesspools of trolling, bigotry, and hatred.1 1. Zachary Laub, Hate Speech on Social Media: Global Comparisons, Council on Foreign Rel. (Jun. 7, 2019), https://www.cfr.org/backgrounder/hate-speech-social-media-global-comparisons.Meanwhile, others feel that these platforms have become too aggressive in policing language and are systematically silencing or censoring certain viewpoints.2 2. Tony Romm, Republicans Accused Facebook, Google and Twitter of Bias. Democrats Called the Hearing 'Dumb.', Wash. Post (Jul. 17, 2018), https://www.washingtonpost.com/technology/2018/07/17/republicans-accused-facebook-google-twitter-bias-democrats-called-hearing-dumb/?utm_term=.895b34499816.And that's not even touching on the question of privacy and what these platforms are doing (or not doing) with all of the data they collect."

"Dan Gillmor, a journalism professor at Arizona State University, asked the AI to handle one of the assignments he gives his students: writing a letter to a relative giving advice regarding online security and privacy. "If you're unsure about the legitimacy of a website or email, you can do a quick search to see if others have reported it as being a scam," the AI advised in part. "I would have given this a good grade," Gillmor said. "Academia has some very serious issues to confront.""

"The intriguing echo of Eliza in thinking about ChatGPT is that people regard it as magical even though they know how it works - as a "stochastic parrot" (in the words of Timnit Gebru, a well-known researcher) or as a machine for "hi-tech plagiarism" (Noam Chomsky). But actually we do not know the half of it yet - not the CO2 emissions incurred in training its underlying language model or the carbon footprint of all those delighted interactions people are having with it. Or, pace Chomsky, that the technology only exists because of its unauthorised appropriation of the creative work of millions of people that just happened to be lying around on the web? What's the business model behind these tools? And so on. Answer: we don't know."

"I have been working with generative AI and, even though I have been warning that these tools are improving rapidly, I did not expect them to really be improving that rapidly. On every dimension, Bing's AI, which does not actually represent a technological leap over ChatGPT, far outpaces the earlier AI - which is less than three months old! There are many larger, more capable models on their way in the coming months, and we are not really ready."

"ChatGPT Heralds an Intellectual Revolution Generative artificial intelligence presents a philosophical and practical challenge on a scale not experienced since the start of the Enlightenment."

"That's why the best systems may come from a combination of AI and human work; we can play to the machine's strengths, Ilievski says. But when we want to compare AI and the human mind, it's important to remember "there is no conclusive research providing evidence that humans and machines approach puzzles in a similar vein", he says. In other words, understanding AI may not give us any direct insight into the mind, or vice versa."