Is artificial consciousness achievable? Lessons from the human brain
Michele Farisco, Kathinka Evers, Jean-Pierre Changeux

TL;DR
This paper examines the potential for artificial consciousness by analyzing the human brain's structure and function, suggesting that AI development can benefit from neuroscience insights despite inherent limitations.
Contribution
It provides an evolutionary perspective on consciousness, highlighting brain features essential for conscious experience and proposing cautious, neuroscience-inspired approaches for developing conscious AI.
Findings
Brain features key to conscious experience identified
AI may develop alternative forms of consciousness
Caution advised in equating AI and human consciousness
Abstract
We here analyse the question of developing artificial consciousness from an evolutionary perspective, taking the evolution of the human brain and its relation with consciousness as a reference model. This kind of analysis reveals several structural and functional features of the human brain that appear to be key for reaching human-like complex conscious experience and that current research on Artificial Intelligence (AI) should take into account in its attempt to develop systems capable of conscious processing. We argue that, even if AI is limited in its ability to emulate human consciousness for both intrinsic (structural and architectural) and extrinsic (related to the current stage of scientific and technological knowledge) reasons, taking inspiration from those characteristics of the brain that make conscious processing possible and/or modulate it, is a potentially promising…
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Taxonomy
TopicsComputability, Logic, AI Algorithms
