The Paris-based community of researchers and professionals united
by a shared interest for the intersection of AI & Philosophy.
Together, we track the big ideas that are shaping a rapidly
changing world.
19:00 by ai-phi
A community post summarising the exchanges of an ai-phi causerie facilitated by Edmund Ronald, bringing together original contributions from members on hopes, fears, trust, and regulation in the age of generative AI.
19:00 by ai-phi
PROXIMA is a European biennale dedicated to AI and augmentism, examining how emerging technologies reshape artistic expression, aesthetics, and their ethical implications.
Session 33 · Seminar series
11:00 by ai-phi
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.
Session 32 · Seminar series
19:00 by ai-phi
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.
Session 31 · Causerie
19:00 by ai-phi
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.