Skip to content

Resources

Videos and slides from ai-phi sessions, to revisit ideas and continue the conversation.

Videos

Recorded talks from ai-phi, to watch or revisit at your own pace. Causeries are unrecorded. Visit our YouTube channel.

Session 41 · Critical Perspectives ·

Intelligence Beyond Anthropocentrism

François Levin (Grenoble Alpes University)

Philosopher François Levin joins us for the first Critical Perspectives on AI live podcast, exploring how critiques of AI can open constructive alternatives: from rethinking intelligence beyond the human model to imagining different ways of developing AI.

Session 25 · Seminar series ·

Artificial Consciousness: Science Fiction, Utopia, or Pandora’s Box?

Kathinka Evers (Uppsala University)

Kathinka Evers explores why the question of artificial sentience (or “awareness”, or “consciousness”) is raised in science receiving considerable public funding despite the lack of empirical evidence? What this might mean and what the implications of it are.

Session 24 · Seminar series ·

Qualia and Symmetry: A Mathematical Framework for Consciousness

Ryota Kanai (Araya Inc.)

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.

Session 22 · Seminar series ·

Beyond Consent: The Limits of Data Agency in Generative AI

Giada Pistilli (Hugging Face)

Can traditional notions of consent meaningfully apply to AI-generated content? What happens when our data creates representations of ourselves beyond our control?

Slides

Slides from our sessions. Various sessions were preceeded by a 'preamble' which often included news and updates.

Value-Aware AI presentation by Giulio Prevedello

📄

PDF Document

PDF Document

A comprehensive introduction to Deep Learning by Stefan Lattner

📄

PDF Document

PDF Document

Preamble for the Introduction to Deep Learning Presentation

📄

PDF Document

PDF Document