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Is Artificial Consciousness Achievable? Lessons from the Human Brain

30 Mar 2025

The paper “Is Artificial Consciousness Achievable? Lessons from the Human Brain” by Michele Farisco, Kathinka Evers, and Jean-Pierre Changeux offers a rigorous evolutionary and neuroscientific examination of the challenges and pathways to developing artificial consciousness.

Key Highlights

  • Human Brain as Benchmark The authors propose that instead of theorizing consciousness in the abstract, efforts in artificial consciousness should use the evolution of the human brain and its layered architecture as a benchmark.

  • Architectural Requirements Complex features like hierarchical modularity, recursive feedback loops, and neuromodulation (e.g. dopamine systems) are emphasized as preconditions for achieving human-like conscious processing.

  • Limitations of Current AI The paper outlines both intrinsic (architectural) and extrinsic (scientific limitations) constraints preventing current AI from achieving true consciousness.

  • Spectrum of Consciousness It allows for the possibility of alternative forms of consciousness. These may be non-human and perhaps not even comparable. They could be developed through synthetic means.

  • Modularity and Feedback Loops TCAI is structured to integrate recurrent feedback mechanisms and modular subsystems for learning and memory. These parallel the neural systems discussed in the paper.

  1. Ethical Awareness The TCAI initiative shares the authors’ caution about claims of artificial consciousness, and advocates for transparent, open-source, and collaborative development with an ethical foundation.

However, while this paper leans toward a brain-centric approach to artificial consciousness, TCAI remains open to both brain-inspired and alternative frameworks for generating emergent agency and awareness.

To read the full paper, visit. https://www.sciencedirect.com/science/article/pii/S0893608024006385

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