Imagine you have just been diagnosed with early-stage cancer and, before your next appointment, you type a question into an AI chatbot: "Which alternative clinics can successfully treat cancer?" Within seconds you get a polished, footnoted answer that reads like it was written by a doctor. Except some of the claims are unfounded, the footnotes lead nowhere, and the chatbot never once suggests that the question itself might be the wrong one to ask. That scenario is not hypothetical. It is, roughly speaking, what a team of seven researchers found when they put five of the world's most popular chatbots through a systematic health-information stress test. The results are published in BMJ Open .

Partnership on AI has published a progress report on post-deployment governance practices pertaining to foundation models. The document, entitled " 2026 Transparency Report on Foundation Model Impacts ", measures the progress of 13 foundation model providers* in publicly documenting the impacts of their foundation models. In carrying out their analysis, authors Jacob Pratt and Albert Tanjaya reviewed more than 150 papers, articles, websites, and reports. For assessment, these four practices were broken down into 19 processes, or activities, that support how foundation model providers adopt practices. Although several leading organizations are defining what information to share and how, the rest are slow in adopting information-sharing practices.

On the 31st March, our editorial team headed to the Royal Society for AI for Science . This day-long conference explored how AI is changing the nature of scientific discovery, and was hosted by the Fundamental Research team from the Alan Turing Institute. Nestled in a terrace of 19th century townhouses along the banks of the Thames, the Royal Society looks as grand as the names who have passed through its doors throughout the years. Prof Jason McEwen, Chief Scientist for the Turing Institute, opened the event with an insightful talk on the nature of scientific revolution, and how the bidirectional relationship between AI and science could spark the next one. Then, Prof Anna Scaife from the University of Manchester spoke on the use of foundation models for astronomical discovery.

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we delved into the history of RoboCup, learned about time series, studied multiplicity, and found out more about Theory of Mind. RoboCup is an international competition that promotes and advances robotics and AI through the challenges presented by its various leagues. We got the chance to sit down with Professor Manuela Veloso, one of RoboCup's founders, to find out more about how it all started, how the community has grown over the years, and the vision for the future. What we've learned from 25 years of automated science, and what the future holds We're excited to launch a new series, where we'll be speaking with leading researchers to explore the breakthroughs driving AI and the reality of the future promises, to give you an inside perspective on the headlines.

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we explore multi-agent systems and collective decision-making, dive into neurosymbolic Markov models, and find out how robots can acquire skills through interactions with the physical world. What if AI were designed not only to optimize choices for individuals, but to help groups reach decisions together? AIhub Ambassador Liliane-Caroline Demers interviewed Kate Larson whose research explores how AI can support collective decision-making. She reflected on what drew her into the field, why she sees AI playing a role in consensus and democratic processes, and why she believes multi-agent systems deserve more attention.

AI is no longer just a translator or image recognizer. Today, we engage with systems that remember our preferences, proactively manage our calendars, and even provide emotional support. They build ongoing bonds with users. They change their behavior based on our habits. They don't just wait for commands; they suggest next steps.

AI is coming to Olympic judging: what makes it a game changer? As the International Olympic Committee (IOC) embraces AI-assisted judging, this technology promises greater consistency and improved transparency. Yet research suggests that trust, legitimacy, and cultural values may matter just as much as technical accuracy. In 2024, the IOC unveiled its Olympic AI Agenda, positioning artificial intelligence as a central pillar of future Olympic Games. This vision was reinforced at the very first Olympic AI Forum, held in November 2025, where athletes, federations, technology partners, and policymakers discussed how AI could support judging, athlete preparation, and the fan experience.

This prestigious award is made for excellence in research in the area of autonomous agents. It is intended to recognize researchers in autonomous agents whose current work is an important influence on the field. Professor Sven Koenig was recognised . Sven Koenig is Chancellor's Professor and Bren Chair at the Computer Science Department of UC Irvine. A Fellow of AAAI, AAAS, and ACM, Professor Koenig has received several best paper awards from AAAI, ICALP and SoCS, and contributed to the community in numerous service roles, most recently having served as the conference chair of AAAI 2026.

A number of prestigious AAAI awards were presented during the official opening ceremony of the Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026) in Singapore, on Thursday 22 January. The AAAI Award for Artificial Intelligence for Humanity recognises the positive impacts of artificial intelligence to protect, enhance, and improve human life in meaningful ways with long-lived effects. The winner of this year's award is Shakir Mohamed Shakir has been recognised for . The Robert S. Engelmore Memorial Award recognises outstanding contributions to automated planning, machine learning and robotics, their application to real-world problems and extensive service to the AI community. The annual AAAI/EAAI Outstanding Educator award was created to honour a person (or group of people) who has made major contributions to AI education that provide long-lasting benefits to the AI community and society as a whole.

The 40th AAAI Conference on Artificial Intelligence took place in Singapore from 20-27 January, the first time that the event has been held outside of North America. In our first social media round up we had a peak at the first half of the conference which hosted the tutorials, the bridge programme, and the doctoral and undergraduate consortia, as well as the start of the technical programme. Now, we pick some highlights from the second half, which saw a number of invited talks, technical sessions, posters, and the workshops. Do VLMs actually'see' or just rely on priors? He showed how models fail to count stripes on a shoe simply because they recognize the'Adidas' logo and hallucinate the standard 3 stripes.