

32 - Understanding Agency with Jan Kulveit
May 30, 2024
Jan Kulveit, who leads the Alignment of Complex Systems research group, dives into the fascinating intersection of AI and human cognition. He discusses active inference, the differences between large language models and the human brain, and how feedback loops influence behavior. The conversation explores hierarchical agency, the complexities of aligning AI with human values, and the philosophical implications of self-awareness in AI. Kulveit also critiques existing frameworks for understanding agency, shedding light on the dynamics of collective behaviors.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12
Intro
00:00 • 5min
Active Inference: Bridging Perception and Behavior
05:13 • 22min
Predictive Processing and Human Behavior
26:53 • 19min
Understanding Self-Awareness in Language Models
46:09 • 26min
Navigating Hierarchical Agency
01:12:04 • 15min
Navigating Hierarchical Agency in AI
01:27:11 • 26min
Bounded Rationality and Agent Interaction
01:53:18 • 5min
Complex Systems and AI Alignment
01:58:27 • 10min
Exploring Research Group Dynamics and Focus Areas
02:07:58 • 3min
Exploring Hierarchical Agency through Active Inference
02:11:04 • 2min
Negotiation and Cooperation in AI
02:13:19 • 7min
Engaging with Research in Alignment and Agency
02:19:58 • 2min