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ACM SIGAI
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.
Interview with Haimin Hu: Game-theoretic integration of safety, interaction and learning for human-centered autonomy
Lucy Smith
21 Aug 2025
Hear from Haimin in the latest in our series featuring the 2025 AAAI / ACM SIGAI Doctoral Consortium participants.
Interview with Flávia Carvalhido: Responsible multimodal AI
Lucy Smith
12 Aug 2025
We hear from PhD student Flávia about her research, what inspired her to study AI, and her experience at AAAI 2025.
Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
Lucy Smith
05 Aug 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
Interview with Aneesh Komanduri: Causality and generative modeling
Lucy Smith
31 Jul 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
monthly digest
AIhub monthly digest: July 2025 – RoboCup round-up, ICML in Vancouver, and leveraging feedback in human-robot interactions
Lucy Smith
30 Jul 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Interview with Kate Candon: Leveraging explicit and implicit feedback in human-robot interactions
Lucy Smith
25 Jul 2025
Hear from PhD student Kate about her work on human-robot interactions.
monthly digest
AIhub monthly digest: June 2025 – gearing up for RoboCup 2025, privacy-preserving models, and mitigating biases in LLMs
Lucy Smith
26 Jun 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Interview with Mahammed Kamruzzaman: Understanding and mitigating biases in large language models
Lucy Smith
17 Jun 2025
Find out how Mahammed is investigating multiple facets of biases in LLMs.
Interview with Amar Halilovic: Explainable AI for robotics
Lucy Smith
10 Jun 2025
Find out about Amar's research investigating the generation of explanations for robot actions.
Interview with Debalina Padariya: Privacy-preserving generative models
Lucy Smith
03 Jun 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
Interview with Filippos Gouidis: Object state classification
Lucy Smith
20 May 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
Interview with Ananya Joshi: Real-time monitoring for healthcare data
Lucy Smith
13 May 2025
Find out how Ananya worked with domain experts to develop a system to identify respiratory outbreaks.
Interview with Onur Boyar: Drug and material design using generative models and Bayesian optimization
Lucy Smith
09 May 2025
Find out how Onur is applying machine learning techniques to bioinformatics-related problems.
