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ACM SIGAI
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?
Reflections from #AIES2025
Ella Scallan and Lucy Smith
14 May 2026
We reflect on AIES 2025, outlining a discussion session on LLMs for clinical usage and human rights.
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.
monthly digest
AIhub monthly digest: April 2026 – machine learning for particle physics, AI Index Report, and table tennis
Lucy Smith
30 Apr 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
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.
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.
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 principled approach for data bias mitigation
Bruno Scarone
18 Mar 2026
Find out more about work presented at AIES 2025 which proposes a new way to measure data bias, along with a mitigation algorithm with mathematical guarantees.
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.
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.
monthly digest
AIhub monthly digest: February 2026 – collective decision making, multi-modal learning, and governing the rise of interactive AI
Lucy Smith
27 Feb 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
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.
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.
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.
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.
Governing the rise of interactive AI will require behavioral insights
Yulu Pi
10 Feb 2026
Yulu Pi writes about her work that was presented at the conference on AI, ethics and society (AIES 2025).
Sven Koenig wins the 2026 ACM/SIGAI Autonomous Agents Research Award
AIhub
06 Feb 2026
Sven honoured for his work on AI planning and search.
Interview with Zijian Zhao: Labor management in transportation gig systems through reinforcement learning
Lucy Smith
02 Feb 2026
In the second of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Zijian Zhao.
monthly digest
AIhub monthly digest: January 2026 – moderating guardrails, humanoid soccer, and attending AAAI
Lucy Smith
30 Jan 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Interview with Xiang Fang: Multi-modal learning and embodied intelligence
Lucy Smith
20 Jan 2026
In the first of our new series of interviews featuring the AAAI Doctoral Consortium participants, we hear from Xiang Fang.
Interview with Anindya Das Antar: Evaluating effectiveness of moderation guardrails in aligning LLM outputs
Lucy Smith
16 Jan 2026
Find out more about work presented at AIES 2025.
2025 AAAI / ACM SIGAI Doctoral Consortium interviews compilation
Lucy Smith
18 Dec 2025
We collate our interviews with the 2025 cohort of doctoral consortium participants.
ACM SIGAI Autonomous Agents Award 2026 open for nominations
ACM SIGAI
19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.
monthly digest
AIhub monthly digest: October 2025 – energy supply challenges, wearable sensors, and atomic-scale simulations
Lucy Smith
29 Oct 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
#AIES2025 social media round-up
AIhub
24 Oct 2025
Find out what participants got up to at the Conference on Artificial Intelligence, Ethics, and Society.
Congratulations to the #AIES2025 best paper award winners!
Lucy Smith
21 Oct 2025
The four winners of best paper prizes were announced during the opening ceremony at AIES.
What’s on the programme at #AIES2025?
Lucy Smith
17 Oct 2025
The conference on AI, ethics, and society will take place in Madrid from 20-22 October.
Interview with Janice Anta Zebaze: using AI to address energy supply challenges
Lucy Smith
07 Oct 2025
Find out more about research combining renewable energy systems, tribology, and artificial intelligence.
Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors
Lucy Smith
03 Oct 2025
Find out more about research developing scalable and adaptive deep learning frameworks.
Interview with Yezi Liu: Trustworthy and efficient machine learning
Lucy Smith
10 Sep 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
Interview with Benyamin Tabarsi: Computing education and generative AI
Lucy Smith
28 Aug 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
