| Website | https://ai-phi.github.io/ |
| https://www.linkedin.com/company/ai-phi-paris |
What should an AI and philosophy community become after a year of shared
questions?
Join ai-phi for our End-of-Year Party on Thursday 4 June, 7 PM at Sony CSL
Paris. We will look back on this year's achievements, share what is coming next,
brainstorm future sessions and formats, and explain how to contribute to our
causerie posts.
Details:
https://ai-phi.github.io/posts/session-39-end-of-year-party/
ai-phi #38: Do We Really Need the Concept of Consciousness in AI Research?
with Thierry Poibeau (CNRS, ENS)
📅 Thu 21 May, 19:00-20:30
📍 Sony CSL Paris
🔗 https://ai-phi.github.io/posts/session-38-poibeau-consciousness-ai-research/
Thierry Poibeau revisits the notions of consciousness, meaning, and understanding in debates about artificial intelligence, asking whether these concepts help clarify current AI systems or obscure the practical questions raised by their limitations.
Is AI scaling a property of intelligence — or of its substrate?
ai-phi #37 — “Substrate & Abstraction”
with Adel Chaïbi (Intel)
📅 Thu 7 May, 19:00
📍 Sony CSL, Paris
https://ai-phi.github.io/posts/session-37-chaibi-substrate-abstraction/
Adel Chaibi examines the recurring tension between computational substrates and the abstractions they support. The talk asks how hardware constraints shape what can be computed, how abstraction pushes back, and why AI has made this co-evolution newly visible.
What are the hidden costs of AI?
Session 36 · Causerie — Systemic Challenges of the Digital Ecosystem (Part 2)
📅 Apr 30 · 19:00
📍 Sony CSL, Paris
Disempowerment, digital divide, environmental impact.
Unrecorded, discussion-driven.
👉 https://ai-phi.github.io/posts/session-36-systemic-challenges/
The same thing can matter… or not at all.
It depends on the goal.
AI-Phi Session #35:
🗓️ April 16 · 18:30 CET
📍
@SonyCSLParis
🎙️ Ali Shiravand (ENS)
🔗 https://ai-phi.github.io/posts/session-35-causerie-fragile-values/
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.
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/
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/
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/
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/
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.
