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ΑΙhub Connecting the AI community and the world. - Association for the Understanding of Artificial Intelligence
- AIhub monthly digest: February 2026 – collective decision making, multi-modal learning, and governing the rise of interactive AIby Lucy Smith on February 27, 2026 at 9:28 am
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.
- The Good Robot podcast: the role of designers in AI ethics with Tomasz Hollanekby The Good Robot Podcast on February 26, 2026 at 2:41 pm
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
- Reinforcement learning applied to autonomous vehicles: an interview with Oliver Changby Lucy Smith on February 25, 2026 at 10:40 am
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
- The Machine Ethics podcast: moral agents with Jen Semlerby The Machine Ethics Podcast on February 24, 2026 at 5:30 pm
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
- Extending the reward structure in reinforcement learning: an interview with Tanmay Ambadkarby Lucy Smith on February 23, 2026 at 11:06 am
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
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Explore the fascinating world of Brain-Computer Interfaces (BCIs). Stay informed about the latest innovations in connecting the human brain with digital devices, enhancing communication, and unlocking new possibilities for medical and technological advancements.
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