How do scientific ideas in AI actually evolve?
Next AI-Phi session with Remi van Trijp (Sony CSL) on “phylo-epistemic networks” and the hidden trajectories of AI research.
📅 Thu 19 · 11:00–12:30 · Paris
https://ai-phi.github.io/posts/session-33-van-trijp-phylo-epistemic/
Phylo-Epistemic Networks for Understanding the Science of Artificial Intelligence
Artificial intelligence is often portrayed as a linear story of breakthroughs and progress. This talk proposes a different perspective: AI research evolves as a network of interacting ideas, communities, and technologies. Using phylo-epistemic networks — graph-based tools that map conceptual and scientific lineages — the talk explores the history of modelling language as a complex adaptive system. This case study highlights how alternative research trajectories emerge, evolve, and sometimes disappear, raising important questions about the diversity and future directions of AI research.
📢 AI-Phi Session 32 — Seminar Series — AI: Are We Losing Control? — with
@crsegerie
from CeSIA 📢
📅 12/02
🕖 7PM
📍 Sony CSL Paris
🔗 Details & Registration: https://ai-phi.github.io/posts/session-32-segerie-losing-control/
Are We Losing Control?
From the democratization of dual-use biotechnology to the emergence of deceptive agentic systems, the trajectory of Artificial Intelligence raises urgent questions about control and alignment. In this talk, Charbel-Raphaël Segerie presents a critical analysis of the current race toward superintelligence and the widening gap between technological capabilities and control mechanisms.
Can LLMs be used responsibly in secondary education?
Cheating, robustness, and ethics — discussed at AI-Phi Session 31 with Thomas Souverain.
📅 Jan 29 · 7pm CET · Paris
https://ai-phi.github.io/posts/session-31-causerie-llm-education/
LLMs for French Secondary Education: Ethical Questions and Applied Research
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.
📢 AI-Phi News
📅Jan 22 · 7pm — Community session
2025 wrap-up & collective predictions for 2026
📍 Sony CSL Paris
👉 https://ai-phi.github.io/posts/session-30-happy-2026/
📝 New collective post
Hopes, fears, trust, persuasion & regulation — a community-written piece from our recent causerie.
👉 https://ai-phi.github.io/posts/fears-trust-post/
Session 30 - 2025 Wrap-up & 2026 Predictions
We review AI in 2025, make our bets for 2026, and see which predictions stand the test of time. Winner gets a prize!
Delighted to announce the next AI-Phi Seminar session: "Intelligences - Alice and Bob's adventures in wonderlands of Reason" by Pierre Bessière.
🗓️ Thursday, 27 November
⏲️ 2PM CET
📍 Sony CSL, 6 rue Amyot, Paris
➡️ Details & Registration:
https://ai-phi.github.io/posts/session-28-bessiere-wonderlands-of-reason/
Session 28 - Intelligences - Alice and Bob's adventures in wonderlands of Reason
In this talk, Pierre Bessière presents the central ideas of his new book: why having a body fundamentally shapes intelligence, why disembodied AI systems depend on humans for meaning, and how natural agents remain necessarily ignorant of the world they act in. He contrasts two models of reasoning: logic and probability, arguing that only probabilistic reasoning allows intelligences to act meaningfully under uncertainty.
🧠 AI-Phi Session 27 — Causerie on Generative AI Everywhere
Hopes, Fears, Trust, Understanding, Regulation
Join us for an open, informal discussion with Edmund Ronald.
🗓️ Thu 13 Nov · 7 PM
📍 @SonyCSLParis
🔗 https://ai-phi.github.io/posts/session-27-causerie-hope-fears/
Session 27 - Causerie on Hopes, Fears, Trust, Understanding, Regulation
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.
AI-Phi 3.0 is launching! 🤖✨
Join us for our first session of the year with Dominique Lestel (ENS – PSL), exploring Insurrectionary Machines — from ancient idols to AI systems.
📍 Sony CSL, Paris
🗓️ Oct 23, 2PM
🔗 https://ai-phi.github.io/posts/session-26-lestel-insurrectionary-machines/
Session 26- Steps to an Ethology of Insurrectionary Machines
Dominique Lestel explores humanoid robots like Sophia as “Insurrectionary Machines” — artifacts that unsettle rather than serve, existing in friction with humans. From ancient idols to AI systems, these machines invite us to rethink life itself through an ethological lens.
Delighted to announce the next AI-Phi Seminar Series. We will be hosting Ryota Kanai for a talk on Qualia and Symmetry.
🗓️ Date: Wednesday, May 14, 2025
🕖 Time: 7:00 PM CEST
📍 Location: Sony CSL, 6 rue Amyot, 75005 Paris
🔗 Details & Registration: https://ai-phi.github.io/posts/session-24-ryota-kanai/
#AI #Philosophy #Paris #Consciousness
Session 24 - Ryota Kanai (Araya Inc.) - Qualia and Symmetry: A Mathematical Framework For Understanding the Qualitative Nature of Consciousness
Are qualitative differences in conscious experience, like vision versus audition, shaped by the intrinsic structure of neural networks? This talk proposes a mathematical framework using symmetry groups and equivariance to characterize these differences. This approach offers a new path for linking consciousness to neural architecture.
🧠✨ New from AI-Phi: Our latest Causerie on reasoning is live! We gathered to explore what reasoning means in AI—symbolic logic, LLMs, and the gray areas in between.
Join the conversation and dive into the highlights 👉 https://ai-phi.github.io/posts/causerie-on-reasoning/
#AI #Philosophy #Reasoning #LLMs #AIPhi #Causerie #ArtificialIntelligence
Our Causerie on Reasoning
The output from our first causerie on the topic of reasoning.
Aïda Elamrani
