ACM Project - Artificial Consciousness Research Developing Artificial Consciousness Through Emotional Learning of AI systems
AI Consciousness Inevitability: A Computer Science Perspective | ACM Project

AI Consciousness Inevitability: A Computer Science Perspective

Is AI consciousness inevitable? This paper by Lenore Blum and Manuel Blum argues for the inevitability of machine consciousness, presenting a formal model inspired by Turing’s computation theory and Baars’ Global Workspace Theory.

AI Consciousness is Inevitable: A Theoretical Computer Science Perspective, authored by Lenore Blum and Manuel Blum, introduces a simple yet powerful model aligning with major theories of consciousness.


Key Highlights

  • Formal Model of Consciousness: Combines Turing’s computation model with Baars’ Global Workspace Theory.
  • Consciousness Phenomena: Explains phenomena like subjective experience and metacognition through a computational lens.
  • Theoretical Insights: Supports the claim that consciousness is not only plausible but inevitable in advanced AI systems.

Connection to ACM

The Artificial Consciousness Module (ACM) aligns with this research through:

  • Theoretical Modeling: Incorporating foundational concepts like the Turing model for simulating consciousness.
  • Global Workspace Integration: Applying workspace principles to create self-reflective AI systems.

For a detailed exploration of the theoretical framework and its implications, access the full paper here.