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Why is Europe falling behind the US on AI adoption at work?
A new study shows a clear gap in workplace AI use between the US and Europe - and suggests management structure may be a key reason why. Europe might be slower to adopt artificial intelligence (AI) than the United States because of how its businesses are structured, according to new research. The report from Brookings Institute surveyed more than 5,000 people in the United States and six European countries to find out how regularly they use AI at work: France, Germany, the Netherlands,...
Need for early, institution-wide AI literacy education highlighted in study
Need for early, institution-wide AI literacy education highlighted in study Gaby Clark Scientific Editor Andrew Zinin Lead Editor Along with researchers from James Madison University, three collaborators in the Office of the Provost recently published in Research & Practice in Assessment. Jaime Miller, Stuart Miller and Rachel Whitman Rotch began gathering data in the summer of 2025, investigating students' artificial intelligence (AI) literacy levels using the Generative AI Literacy...
Brit workers waste nearly six hours a week 'botsitting'
Almost all UK workers now have to deal with AI, but few firms report big productivity gains because of all the time lost in hand-holding the systems and cleaning up their mistakes. So says a report by the Work AI Institute, a research arm of AI biz Glean Technologies. It claims there are productivity gains to be had from introducing AI-based tools, yet much of this is being negated by the amount of time employees waste making them work – a phenomenon it has christened "botsitting."
Anthropic calls for pause of global AI development
Anthropic calls for pause of global AI development Getting a real pause to work would mean multiple major AI companies in multiple countries - most notably the US and China - all agreeing to stop at the same time, under rules everyone could actually verify, Anthropic said. NEW YORK: Artificial intelligence company Anthropic suggested on Thursday (Jun 4) a global pause on building the most powerful AI systems as the latest models are beginning to show signs they could escape human control....
When AI Builds Itself: Our progress toward recursive self-improvement
For most of AI’s history, humans drove every step in its development cycle. But at Anthropic, we are delegating a growing share of AI development to AI systems themselves, which is speeding up our work. Taken far enough, and given enough compute, that trend points to an AI system capable of fully autonomously designing and developing its own successor.
Visual AI tracks nearly 100 wildlife species to improve conservation
Visual AI tracks nearly 100 wildlife species to improve conservation Gaby Clark Scientific Editor Robert Egan Associate Editor Wildlife research projects worldwide could benefit from a new AI system which can automatically find, name, and follow individual animals in footage. A University of Bristol team working on Animal Biometrics and AI for Conservation have been key contributors to the SA-FARI (Segment Anything in Footage of Animals for Recognition and Identification) project, developed...
Social welfare optimisation under institutional reward and punishment
arXiv:2605.31330v1 Announce Type: new Abstract: Institutional incentives are widely used to promote cooperation among autonomous, self-regarding agents, from human societies to multi-agent and AI systems. Existing work typically treats incentive design as a bi-objective problem: minimise institutional cost while achieving a high long-run frequency of cooperation. Whether such schemes also maximise social welfare - total population payoff net of institutional expenditure - has remained...
Von der Leyen’s AI pick triggers conflict-of-interest criticism
BRUSSELS — The appointment of Siemens’ chairman as a European Commission adviser on industrial AI is triggering a backlash in Brussels, weeks after the German engineering giant helped secure a rollback of the EU’s AI rules. “My first reaction was just: Wow,” said Kim van Sparrentak, a Dutch lawmaker who led the work on the AI file for the Greens in the European Parliament. “They fought hard against AI rules for themselves, they lobby against technological sovereignty,...
Sakana AI's Recursive Self-Improvement (RSI) Lab
The Next Paradigm of Artificial Intelligence As the world enters the era of artificial intelligence, Japan has a unique opportunity to reclaim its position at the frontier of global innovation. However, to achieve global leadership in AI and scientific discovery, we cannot simply stick to the conventional approach of brute-forcing monolithic models. We must leapfrog the current paradigm.
Anthropic calls for ‘brake pedal’ before AI develops itself without human oversight
Anthropic co-founder Jack Clark said AI agents might soon be able to build and train models themselves and, if that happens, humans could lose control over AI systems. Anthropic co-founder Jack Clark wants the AI industry to pump the brakes before the technology starts further developing itself without human input. Speaking to the BBC, Clark said 80% of Anthropic’s coding work is already being done by its AI Claude, and that it could go up to 100% in a couple of years.