Is Artificial Consciousness Achievable? Brain-Inspired Approaches

What lessons can the human brain teach us about artificial consciousness? This paper by Michele Farisco and colleagues examines structural and functional features of the brain essential for consciousness and their implications for AI.

Is Artificial Consciousness Achievable? Lessons from the Human Brain, authored by Michele Farisco, Kathinka Evers, and Jean-Pierre Changeux, analyzes the evolutionary underpinnings of consciousness and their relevance to AI research.

Key Highlights

• Brain-Based Consciousness: Highlights structural and functional features of the brain essential for conscious processing.
• Alternative Consciousness Forms: Suggests AI could develop partial or alternative consciousness distinct from human experiences.
• Cautionary Approach: Advocates for careful differentiation between human and AI consciousness.

Connection to ACM

The Artificial Consciousness Module (ACM) aligns with this study by:

• Brain-Inspired Design: Drawing from the structural features of human consciousness for architectural inspiration.
• Modularity: Implementing differentiated processing models to explore alternative consciousness forms.

For a detailed exploration of the neuroscience-inspired approaches, access the full paper here.