The Path to Sentient Robots: AI Consciousness in the Light of New Insights into the Functioning of the Brain

Explore a 21-minute conference talk from Models of Consciousness Conferences that delves into the conditions required for Artificial Intelligence to achieve consciousness. Learn about the brain's functional principles in forming conscious states and how these findings could be applied to other physical systems. Discover how empirical evidence points to self-organized criticality and phase transitions in conscious brain processes, requiring quantum electrodynamics (QED) analysis. Understand how QED-based models show the brain's architecture and chemical composition are designed for resonant coupling with electromagnetic vacuum fluctuations (zero-point field or ZPF). Examine the hypothesis that ZPF is a foundational field with inherent phenomenal qualities, and how this suggests that robot consciousness may depend on their ability to interact with the ZPF's phenomenal spectrum. Gain insights into the relationship between brain-ZPF coupling, field mode amplification, and the modulation of conscious processes.