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 look into bias in AI-based recruitment tools, find out about a new image dataset for ethical AI benchmarking, dig into human-robot interactions and social robotics, and look back on another busy year in the world of AI. We've been meeting some of the PhD students that were selected to take part in the Doctoral Consortium at the European Conference on Artificial Intelligence (ECAI-2025) . In the second interview of the series, we caught up with Frida Hartman to find out how her PhD is going so far, and plans for the next steps in her investigations. Frida, along with co-authors Mario Mirabile and Michele Dusi, was also the winner of the ECAI-2025 Diversity & Inclusion Competition, for work entitled .

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 learn about rewarding explainability in drug repurposing with knowledge graphs, investigate value-aligned autonomous vehicles, and consider trust in multi-agent systems. In this blog post, and write about work, presented at the International Joint Conference on Artificial Intelligence (IJCAI2025), on rewarding explainability in drug repurposing with knowledge graphs. Their work introduces a reinforcement learning approach that not only predicts which drug-disease pairs might hold promise but also explains why. Astrid Rakow writes about designing "conflict-sensitive" autonomous traffic agents that explicitly recognise, reason about, and act upon competing ethical, legal, and social values.

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 more about machine learning for chip design. October has been a busy month on the conference front. Over in Madrid, researchers gathered for the conference on Artificial Intelligence, Ethics, and Society (AIES) . The event featured two keynote talks, panel discussions and poster sessions.

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 hear about the latest research on soccer ball detection, learn about energy-based transformers, find out about memory traces in reinforcement learning, and explore some potential solutions to the problems with conference reviewing. Issues with the peer-review process, and pertaining to conferences in particular, are often discussed among authors, reviewers and conference chairs alike. However, coming up with potential solutions to the problem has proved challenging. Jaeho told us more in this interview .

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 dive into the world of agents, learn about responsible multimodal AI, apply generative AI to computer networks, and dig into the RoboCup@Work League. This month, Sanmay Das, Tom Dietterich, Sabine Hauert, Sarit Kraus, and Michael Littman tackled the topic of agentic AI, discussing recent developments, and lessons learned from the decades of research in the autonomous agents and multiagent systems community. The 34th International Joint Conference on Artificial Intelligence (IJCAI2025) took place in Montréal from 16-22 August, with a satellite event currently being held (from 29-31 August) in Guangzhou, China. You can find out more about the programmes of both venues here, and get a flavour of what attendees got up to in our social media round-ups: Part one Part two.

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 take a trip around some of the RoboCup leagues, check in at ICML, learn about the NASA onboard AI research platform, and explore feedback in human-robot interactions. This month saw the running of RoboCup 2025, with the event taking place in Salvador, Brazil, from 15-21 July. Ahead of kick-off, we spoke to the general chair Marco Simões and caught up with Ana Patrícia Magalhães, lead organizer for RoboCupJunior, to find out more about their plans for the week. You can find out what the participants got up to in our two round-ups from social media: #RoboCup2025: social media round-up 1 #RoboCup2025: social media round-up part 2. If you missed the action, you can find the recordings of the livestreams here.

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 hear about explainable AI for robotics, explore privacy-preserving generative models, and find out what RoboCup 2025 has in store. RoboCup is an international scientific initiative with the goal of advancing the state of the art of intelligent robots, AI and automation. The annual RoboCup event, where teams gather from across the globe to take part in competitions across a number of leagues, will this year take place in Brazil, from 15-21 July. We spoke to Marco Simões, one of the General Chairs of RoboCup 2025 and President of RoboCup Brazil, to find out what plans they have for the event, some new initiatives, and how RoboCup has grown in Brazil over the past ten years.

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 learn about drug and material design using generative models and Bayesian optimization, find out about a system for real-time monitoring for healthcare data, and explore domain-specific distribution shifts in volunteer-collected biodiversity datasets. Ananya Joshi recently completed her PhD, where she developed a system that experts have used for the past two years to identify respiratory outbreaks (like COVID-19) in large-scale healthcare streams across the United States. In this interview, she tells us more about this project, how healthcare applications inspire basic AI research, and her future plans. Onur Boyar is a PhD student at Nagoya university, working on generative models and Bayesian methods for materials and drug design.

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 aligning generative AI with technical standards, learn how machine learning can be applied to semiconductor manufacturing, investigate social choice problems, and hear about the return of the AI Song Contest. We continued our series meeting the AAAI/SIGAI Doctoral Consortium participants in this interview with Joseph Marvin Imperial. Joseph is based at the University of Bath, focusing on aligning generative AI with technical standards for regulatory and operational compliance. Amina Mević is another AAAI/SIGAI Doctoral Consortium participant, working at the intersection of machine learning, physics, mathematics, and semiconductor technology.

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's digest includes four interviews. We hear from two newly-elected AAAI Fellows, and two researchers at the start of their careers, to find out about their different research areas – human-allied AI, multilingual natural language processing, microtargeting and activity patterns on social media, and differential privacy. We are delighted to announce the launch of our interview series featuring the 2025-elected AAAI Fellows. We began the series in style, meeting Sriraam Natarajan to talk about his research on human-allied AI.