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Each year the AAAI recognizes a group of individuals who have made significant, sustained contributions to the field of artificial intelligence by appointing them as Fellows. Over the course of the next few months, we’ll be talking to some of the 2026 AAAI Fellows. In this interview, we met with Yan Liu, University of Southern […]
Interview with AAAI Fellow Yan Liu: machine learning for time series Read More »
In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. We sat down with Nitay Alon whose research is at the intersection of cognitive science and AI. We talked about the fascinating topic of Theory of Mind, how this plays out in deceptive environments, multi-agent
AI and Theory of Mind: an interview with Nitay Alon Read More »
The AIhub coffee corner captures the musings of AI experts over a short conversation. This month we tackle the topic of young people and what AI tools mean for their future. Joining the conversation this time are: Sanmay Das (Virginia Tech), Tom Dietterich (Oregon State University), Sabine Hauert (University of Bristol), Michael Littman (Brown University),
AIhub coffee corner: AI, kids, and the future – “generation AI” Read More »
In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. We sat down with Maxime Meyer to chat about his current research, future plans, and how he found the doctoral consortium experience. Could you start with an introduction to yourself, where you’re studying and the
Studying the properties of large language models: an interview with Maxime Meyer Read More »
In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. We sat down with Prakhar Ganesh to learn about his work on responsible AI, which is focussed on the concept of multiplicity. We found out more about some of the projects he’s been involved in,
Studying multiplicity: an interview with Prakhar Ganesh Read More »
Jamillah Knowles & Digit / Pink Office / Licenced by CC-BY 4.0 Abstract 2025 marked a pivotal shift in AI – from testing to deployment. This happened as generative and agentic systems became essential in key sectors worldwide. This feature highlights the major AI ethics and policy developments of 2025, and concludes with a forward-looking
Top AI ethics and policy issues of 2025 and what to expect in 2026 Read More »
Hosted by Eleanor Drage and Kerry McInerney, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. The role of designers in AI ethics with Tomasz Hollanek In this episode, we talk to Tomasz Hollanek, researcher at the Leverhulme Centre for the Future of Intelligence at the University
The Good Robot podcast: the role of designers in AI ethics with Tomasz Hollanek Read More »
In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. We caught up with Oliver Chang whose research interests span deep reinforcement learning, autonomous vehicles, and explainable AI. We found out more about some of the projects he’s worked on so far, what drew him
Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang Read More »
Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology’s impact on society. Moral agents with Jen Semler This month, Ben met in-person with Jen Semler. They chatted about what AI is, philosopher and
The Machine Ethics podcast: moral agents with Jen Semler Read More »
In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Tanmay Ambadkar is researching the reward structure in reinforcement learning, with the goal of providing generalizable solutions that can provide robust guarantees and are easily deployable. We caught up with Tanmay to find out more
