Can Models of Human Consciousness Enhance AI Capabilities?

Some researchers propose that advancing AI to the next level will require an internal architecture that more closely mirrors the human mind. Rufin VanRullen joins Brian Greene to discuss early results from one such approach, based on the Global Workspace Theory of consciousness.

This program is part of the Big Ideas series, supported by the John Templeton Foundation.

Participant: Rufin VanRullen
Moderator: Brian Greene

00:00 - Introduction
02:06 - Participant Introduction
03:12 - VanRullin's journey from neuroscience to artificial neural networks
05:25 - Algorithmic approach to neural networks
08:02 - Simulation of information processing
09:25 - Global Workspace Theory
21:33 - Global Workspace providing insight on consciousness
23:14 - Role of language in consciousness and replicating intelligence
25:30 - Developing consciousness in AI systems
31:38 - How to recognize if AI has developed consciousness
32:32 - Time scale of Global Workspace Theory and emergence of consciousness in AI
34:45 - Credits

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