Why apply AI to figure skating? Skaters can always keep pushing, higher, faster, stronger. OOFSkate is all about helping skaters figure out a way to rotate a little bit faster in their jumps or jump a little bit higher. The system helps skaters catch things that perhaps could pass an eye test, but that might allow them to target some high-value areas of opportunity. The artistic side of skating is much harder to evaluate than the technical elements because it's subjective.

The Future of AI Research report, published in March 2025, aims to clearly identify the trajectory of AI research in a structured way. The report was led by outgoing AAAI President Francesca Rossi and covers 17 different AI topics . 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 fourth panel, the AI experts tackle the topic of AI and sustainability, exploring the critical balance between harnessing AI's potential and managing its environmental impact. They talk about: the growth of AI and its impact on infrastructure, looking beyond energy use, AI for accelerating breakthroughs, and strategies for investing in grid capacity and innovations.

This post contains a list of the AI-related seminars that are scheduled to take place between 1 December 2025 and 31 January 2026. All events detailed here are free and open for anyone to attend virtually. Dick den Hertog (University of Amsterdam) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list . Annabelle Gawer The Digital Humanism (DIGHUM) Initiative The talk will be livestreamed on YouTube here . Jesús Moreno-León (University of Seville) Raspberry PI Sign up here to join.

In recent times, discussions on social media platforms have increasingly come under scrutiny due to the proliferation of science denial and fake news. Traditional solutions, such as regulatory actions, have been implemented to mitigate the spread of misinformation; however, these measures alone are not sufficient. To complement these efforts, educational approaches are becoming essential in empowering users to critically engage with misinformation. Conversation training, through serious games or personalized methods, has emerged as a promising strategy to help users handle science denial and toxic conversation tactics. This paper suggests an interdisciplinary seminar to explore the suitability of Large Language Models (LLMs) acting as a persona of a science denier to support people in identifying misinformation and improving resilience against toxic interactions. In the seminar, groups of four to five students will develop an AI-based chatbot that enables realistic interactions with science-denial argumentation structures. The task involves planning the setting, integrating a Large Language Model to facilitate natural dialogues, implementing the chatbot using the RASA framework, and evaluating the outcomes in a user study. It is crucial that users understand what they need to do during the interaction, how to conclude it, and how the relevant information is conveyed. The seminar does not aim to develop chatbots for practicing debunking but serves to teach AI technologies and test the feasibility of this idea for future applications. The chatbot seminar is conducted as a hybrid, parallel master's module at the participating educational institutions.

The AI Song Contest was founded with the aim of showcasing the potential of human-AI co-creativity in the songwriting process. Now in its sixth year, the competition will conclude on 16 November with a live show in Amsterdam. From all the entrants, the jury have selected their top ten songs. The live event will feature performances from the ten finalists, and you will be able to watch on YouTube here . Listen to the songs and vote for your favourite.

The Association for the Advancement of Artificial Intelligence (AAAI) is thrilled to announce the launch of a new podcast series, "Generations in Dialogue: Bridging Perspectives in AI." Through this series, we aim to represent diverse perspectives across generations, fostering rich conversations about the ever changing landscape of AI. "Generations in Dialogue" aims to feature unique outlooks from AI experts, practitioners, enthusiasts of all backgrounds. Each episode will cover topics ranging from the history of AI, the latest research, to exploring the future ethical implications of its newest technologies. We will delve into how generational experiences shape views on AI, exploring the challenges, opportunities, and ethical considerations that come with the advancement of this transformative technology. We welcome you to join us on this exciting journey. Whether you are an AI professional, researcher, or student, we hope this platform will be invaluable in discovering unique perspectives of AI with a global audience, bridging existing generational gaps in the understanding of AI and expanding your network beyond your local communities.

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. This is a bonus episode looking back over answers to our question: What excites you about AI? This episode features clips from: Sarah Brin, Mark Coeckelbergh, Roger Spitz, Rachel Coldicutt, Pinar Guvenc, Guy Gadney, Nadia Piet, and Lisa Talia Moretti. This podcast was created and is run by Ben Byford and collaborators. The podcast, and other content was first created to extend Ben's growing interest in both the AI domain and in the associated ethics.

This post contains a list of the AI-related seminars that are scheduled to take place between 3 October and 30 November 2025. All events detailed here are free and open for anyone to attend virtually. Daniel Kuhn (EPFL) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list . Chia-Lin Wei (University of Washington) University of Michigan Medical School The seminar will be live-streamed on the DCMB YouTube Channel . Jannis Kurtz (University of Amsterdam) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list .

Understanding genetic perturbations, when scientists intentionally alter genes to see how this affects cells, is key to understanding what our genes do and how they are controlled. This knowledge has important applications in cell engineering and in developing new treatments. Today, scientists can test many different genetic perturbations in the lab. But there are so many possible combinations that it is impossible to test them all. AI and machine learning have created the opportunity to use information from large biological datasets to predict what will happen when a gene is changed -- even if that change has never been tested in the laboratory.

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. This episode Adir and I chat about Autonomy.ai Adir Ben-Yehuda is the CEO of AutonomyAI, where he's leading the development of an autonomous GenAI platform that helps companies ship software faster with production-grade code. He previously led go-to-market teams at high-growth startups including OpenWeb as VP of Strategy and Walnut as CRO, helping scale products adopted by global brands. With over a decade of experience, Adir specializes in turning complex tech into scalable, market-friendly solutions.