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Interview with Thi Kieu Khanh Ho: Time-series anomaly detection
Lucy Smith
09 Jul 2026
How can we teach AI systems to recognize when something unusual or abnormal is happening in complex, real-world data streams, without relying on large amounts of labeled examples?
#RoboCup2026 social media round-up
Lucy Smith
08 Jul 2026
Find out what the teams got up to at this year's RoboCup extravaganza in Incheon.
Engineering Out Loud: S13E1 – How many robots can a single human supervise?
Engineering Out Loud
22 Jun 2026
Professor Julie Adams describes the research showing that one person can supervise more than 100 autonomous ground and aerial robots.
Interview with AAAI Fellow Tanya Berger-Wolf: AI for ecology, biodiversity, and conservation
Lucy Smith
11 Jun 2026
Find out about Tanya work on a foundation model for biology and the insights that this can provide.
The Good Robot podcast: the battle over data centres with Tara Merk
The Good Robot Podcast
08 Jun 2026
Eleanor Drage speaks with Tara Merk about how community-owned data centers could transform digital ownership and challenge the dominance of Big Tech.
Interview with AAAI Fellow Sanmay Das: multiagent systems
Lucy Smith
04 Jun 2026
We find out more about multi-agent research for the allocation of scarce societal resources.
The Good Robot podcast: the future of data centres and digital sovereignty with Friederike von Franqué
The Good Robot Podcast
26 May 2026
Can cloud infrastructure be owned and governed by the people, and not just Big Tech?
coffee corner
AIhub coffee corner: World models
AIhub
22 May 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.
Making AI systems more transparent and trustworthy: an interview with Ximing Wen
Lucy Smith
07 May 2026
Find out more about Ximing's work, experience as a research intern, and what inspired her to study AI.
The Machine Ethics podcast: organoid computing with Dr Ewelina Kurtys
The Machine Ethics Podcast
29 Apr 2026
In this episode, Ben chats to Ewelina about the uses of organoids and energy saving computing, differences between biological neurons and digital neural networks, and much more.
Interview with Deepika Vemuri: interpretability and concept-based learning
Lucy Smith
24 Apr 2026
Find out more about Deepika's research bridging the gap between data-driven models and symbolic learning.
Causal models for decision systems: an interview with Matteo Ceriscioli
Lucy Smith
21 Apr 2026
How can we integrate causal knowledge into agents or decision systems to make them more reliable?
Interview with Xinwei Song: strategic interactions in networked multi-agent systems
Lucy Smith
16 Apr 2026
Xinwei Song tells us about her research using algorithmic game theory and multi-agent reinforcement learning.
Formal verification for safety evaluation of autonomous vehicles: an interview with Abdelrahman Sayed Sayed
Lucy Smith
14 Apr 2026
Find out more about work at the intersection of continuous AI models, formal methods, and autonomous systems.
Interview with Sukanya Mandal: Synthesizing multi-modal knowledge graphs for smart city intelligence
AIhub
09 Apr 2026
A modular four-stage framework that draws on LLMs to automate synthetic multi-modal knowledge graphs.
Emergence of fragility in LLM-based social networks: an interview with Francesco Bertolotti
Ella Scallan
08 Apr 2026
Francesco tells us how LLMs behave in the social network Moltbook, and what this reveals about network dynamics.
Scaling up multi-agent systems: an interview with Minghong Geng
Lucy Smith
07 Apr 2026
We sat down with Minghong in the latest of our interviews with the 2026 AAAI/SIGAI Doctoral Consortium participants.
AI pioneers
What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King
Ella Scallan
30 Mar 2026
We launch our new AI Pioneers series with a conversation with Ross King - a forerunner in the field of AI-enabled scientific discovery.
A multi-armed robot for assisting with agricultural tasks
Robohub and Lucy Smith
27 Mar 2026
How can a robot safely manipulate branches to reveal hidden flowers while remaining aware of interaction forces and minimizing damage?
Resource-constrained image generation and visual understanding: an interview with Aniket Roy
Lucy Smith
26 Mar 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.
A history of RoboCup with Manuela Veloso
Lucy Smith
24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.
Interview with AAAI Fellow Yan Liu: machine learning for time series
Lucy Smith
19 Mar 2026
Hear from 2026 AAAI Fellow Yan Liu about her research into time series, the associated applications, and the promise of physics-informed models.
AI and Theory of Mind: an interview with Nitay Alon
Lucy Smith
16 Mar 2026
Find out more about how Theory of Mind plays out in deceptive environments, multi-agents systems, the interdisciplinary nature of this field, when to use Theory of Mind, and when not to, and more.
coffee corner
AIhub coffee corner: AI, kids, and the future – “generation AI”
AIhub
13 Mar 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.
Studying the properties of large language models: an interview with Maxime Meyer
Lucy Smith
11 Mar 2026
What happens when you increase the prompt length in a LLM? In the latest interview in our AAAI Doctoral Consortium series, we sat down with Maxime, a PhD student in Singapore.
Studying multiplicity: an interview with Prakhar Ganesh
Lucy Smith
05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?
Top AI ethics and policy issues of 2025 and what to expect in 2026
In the latest issue of AI Matters, a publication of ACM SIGAI, Larry Medsker summarised the year in AI ethics and policy, and looked ahead to 2026.
The Good Robot podcast: the role of designers in AI ethics with Tomasz Hollanek
The Good Robot Podcast
26 Feb 2026
In this episode, Tomasz argues that design is central to AI ethics and explores the role designers should play in shaping ethical AI systems.
Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang
Lucy Smith
25 Feb 2026
In the third of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Oliver Chang.
The Machine Ethics podcast: moral agents with Jen Semler
The Machine Ethics Podcast
24 Feb 2026
In this episode, Ben and Jen Semler talk about what makes a moral agent, the point of moral agents, philosopher and engineer collaborations, and more.
Extending the reward structure in reinforcement learning: an interview with Tanmay Ambadkar
Lucy Smith
23 Feb 2026
Find out more about Tanmay's research on RL frameworks, the latest in our series meeting the AAAI Doctoral Consortium participants.
The Good Robot podcast: what makes a drone “good”? with Beryl Pong
The Good Robot Podcast
20 Feb 2026
In this episode, Eleanor and Kerry talk to Beryl Pong about what it means to think about drones as “good” or “ethical” technologies.
Learning to see the physical world: an interview with Jiajun Wu
AI Matters and Ella Scallan
17 Feb 2026
Winner of the 2019 AAAI / ACM SIGAI dissertation award tells us about his current research.
How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu
Lucy Smith
12 Feb 2026
Find out more about work published at the Conference on Robot Learning (CoRL).
From Visual Question Answering to multimodal learning: an interview with Aishwarya Agrawal
AI Matters and Ella Scallan
11 Feb 2026
We hear from Aishwarya about research that received a 2019 AAAI / ACM SIGAI Doctoral Dissertation Award honourable mention.
#AAAI2026 social media round up: part 2
Lucy Smith
03 Feb 2026
Catch up on the action from the second half of the conference.
