ABOUT THIS FEED
AI Hub (aihub.org) is a nonprofit initiative designed to connect the AI research community and make cutting-edge knowledge accessible to wider audiences. Its RSS feed aggregates curated articles, interviews, event summaries, and research updates from across the AI ecosystem. The focus is on community engagement: highlighting work from researchers, promoting open collaboration, and sharing insights into AI’s role in academia, policy, and society. Unlike fast-paced news feeds, AI Hub emphasizes depth, context, and inclusivity, featuring content from global contributors. With several posts each day, it ensures that readers are exposed to diverse voices and emerging trends. This feed is particularly valuable for academics, policymakers, and AI enthusiasts who want a comprehensive, community-driven perspective on artificial intelligence beyond just commercial applications.
- 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
- The Machine Ethics podcast: 2025 wrap up with Lisa Talia Moretti & Ben Byford
Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology’s impact on society. 2025 wrap up with Lisa Talia Moretti & Ben Byford For our 2025 round up episode we’re again chatting with Lisa
- Interview with Kate Larson: Talking multi-agent systems and collective decision-making
What if AI were designed not only to optimize choices for individuals, but to help groups reach decisions together? At IJCAI 2025 in Montreal, I had the pleasure of speaking with Professor Kate Larson of the University of Waterloo, a leading expert in multi-agent systems whose research explores how AI can support collective decision-making. In
- #AAAI2026 social media round up: part 1
The 40th AAAI Conference on Artificial Intelligence is currently taking place in Singapore, the first time that the event has been held outside of North America. The opening two days of the conference hosted the tutorials, the bridge programme, and the doctoral and undergraduate consortium, with the main conference – including the invited talks and
- Congratulations to the #AAAI2026 outstanding paper award winners
The AAAI 2026 outstanding paper awards were announced during the opening ceremony of the 40th Annual AAAI Conference on Artificial Intelligence on Thursday 22 January. These awards honour papers that “exemplify the highest standards in technical contribution and exposition”. Papers are recommended for consideration during the review process by members of the Program Committee. This
- 3 Questions: How AI could optimize the power grid
Priya Donti, an MIT electrical engineering and computer science professor, studies how machine learning can make the power grid more efficient and resilient. Photo credit: Adam Glanzman. By Adam Zewe Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging electricity usage of data centers that enable the training
- 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
- An introduction to science communication at #AAAI2026
We’re pleased to announce that we will be giving an introduction to science communication for AI researchers at AAAI this year. This will be held on Wednesday 21 January from 13:00 – 14:30. The session is part of the Undergraduate Consortium programme. However, if you are attending the conference and fancy finding out how you
- 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,
- Guarding Europe’s hidden lifelines: how AI could protect subsea infrastructure
By Michael Allen Thousands of kilometres of cables and pipelines criss-cross Europe’s sea floors, carrying the gas, electricity and data that keep modern life running. Yet these critical links lie mostly unprotected. A series of recent incidents, such as the Nord Stream gas pipeline explosions, has raised fears that Europe’s underwater infrastructure is becoming a