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 can communicate your research to a general audience in different formats, then you are more than welcome to join us. The session will comprise a talk, a Q&A, and the opportunity to try some of the activities presented in the tutorial. You will have the opportunity to receive advice on any science communication ideas or questions you have.

If you've ever gone hiking, you know trails can be challenging and unpredictable. A path that was clear last week might be blocked today by a fallen tree. Poor maintenance, exposed roots, loose rocks, and uneven ground further complicate the terrain, making trails difficult for a robot to navigate autonomously. After a storm, puddles can form, mud can shift, and erosion can reshape the landscape. This was the fundamental challenge in our work: how can a robot perceive, plan, and adapt in real time to safely navigate hiking trails?

In March 2025, the Association for the Advancement of Artificial Intelligence (AAAI), published a report on the Future of AI Research . The report, which was led by outgoing AAAI President Francesca Rossi covers 17 different AI topics and aims to clearly identify the trajectory of AI research in a structured way. As part of this project, members of the report team, and other selected AI practitioners, are taking part in a series of video panel discussions covering selected chapters from the report. In the third panel, the AI experts tackle the topic of AI reasoning. They consider the definition of reasoning, what reasoning is and what it should be in our AI models, planning techniques, model training, making smart (and not to smart choices) about which AI products to use, guarantees, why we shouldn't imitate human reasoning in AI models, thinking about the future, and more.

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. Giulia is a competition lawyer focusing on abuse of dominance actions against Big Tech companies as well as environmental claims. She recently completed her masters in AI Ethics & Society at Cambridge and writes for several journals and academic publications on the interplay between technology, politics, society, and contemporary art. She regularly gives talks on AI ethics, law and regulation and in 2025 was recognised in the "100 Brilliant Women in AI Ethics" list. This podcast was created and is run by Ben Byford and collaborators.