Causeries

We cover the second chapter of our causerie on systemic challenges, this time focusing on the hidden costs of AI.

What makes something valuable? Is value a stable property of the world, or does it depend on the goals we are trying to achieve? This session will explore how value representations support flexible learning and decision-making in humans and AI.

This causerie session is motivated by recent news, and notably the controversy involving Anthropic vs the Pentagon. We will discuss power struggles in the race to control AI, as well as challenges in the global distribution of resources.

Large language models are rapidly entering classrooms, reshaping learning, assessment, and teaching practices. This session explores the ethical challenges raised by educational LLMs, drawing on the OpenLLM France 2030 project, and focuses on applied issues such as detecting LLM-assisted cheating and ensuring robustness against adversarial attacks in educational settings.

How can we address the systemic challenges of the digital ecosystem? This festive session will be shaped by community discussion.

From creative studios to classrooms and boardrooms, generative AI is reshaping the way we work, learn, and imagine. This first Causerie of AI-Phi 3.0 invites an open discussion on the hopes and anxieties surrounding this technology: from the promise of universal creativity and efficiency to the spectre of runaway intelligence. Together with Edmund Ronald, we’ll reflect on how trust, safety, and understanding evolve as AI spreads through everyday life.

Short presentation(s) followed by collective discussions on reasoning in AI systems. We will celebrate this 20th session with a cake 🥳