ACM SIGAI

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Interview with Zijian Zhao: Labor management in transportation gig systems through reinforcement learning

Each year, a small group of PhD students are chosen to participate in the AAAI/SIGAI Doctoral Consortium. This initiative provides an opportunity for the students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. For the past couple of years, we’ve been meeting […]

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AIhub monthly digest: January 2026 – moderating guardrails, humanoid soccer, and attending AAAI

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 find out about a robot to navigate hiking trails, learn from logical constraints, analyse the effectiveness of moderation guardrails, and travel to Singapore to attend

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Interview with Xiang Fang: Multi-modal learning and embodied intelligence

Each year, a small group of PhD students are chosen to participate in the AAAI/SIGAI Doctoral Consortium. This initiative provides an opportunity for the students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. For the past couple of years, we’ve been meeting

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Interview with Anindya Das Antar: Evaluating effectiveness of moderation guardrails in aligning LLM outputs

In their paper presented at AIES 2025, “Do Your Guardrails Even Guard?” Method for Evaluating Effectiveness of Moderation Guardrails in Aligning LLM Outputs with Expert User Expectations, Anindya Das Antar, Xun Huan and Nikola Banovic propose a method to evaluate and select guardrails that best align LLM outputs with domain knowledge from subject-matter experts. Here,

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2025 AAAI / ACM SIGAI Doctoral Consortium interviews compilation

Contributors to the 2025 Doctoral Consortium series. Authors pictured in order of their interview publication date (left to right, top to bottom). Each year, a small group of PhD students are chosen to participate in the AAAI/SIGAI Doctoral Consortium. This initiative provides an opportunity for the students to discuss and explore their research interests and

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ACM SIGAI Autonomous Agents Award 2026 open for nominations

Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award. This award is made for excellence in research in the area of autonomous agents. It is intended to recognize researchers in autonomous agents whose current work is an important influence on the field. The award is an official ACM award, funded by an

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AIhub monthly digest: October 2025 – energy supply challenges, wearable sensors, and atomic-scale simulations

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 attend AIES and ECAI, learn about policy design for two-sided platforms, discover how to balance speed and physical laws in atomic-scale simulations, and find out

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Congratulations to the #AIES2025 best paper award winners!

The eighth AAAI / ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) is currently taking place in Madrid, Spain, running from 20-22 October. During the opening ceremony, the best papers for this year were announced. The four winners are: AI, Normality, and Oppressive Things Ting-an Lin and Linus Ta-Lun Huang Abstract: While it is

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