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Dissociating Artificial Intelligence from Artificial Consciousness

Graham Findlay, William Marshall, Larissa Albantakis, Isaac David, William GP Mayner, Christof Koch, Giulio Tononi

arXiv Preprint Archive December 5, 2024 via arXiv

Summary

AI-generated from the abstract

A digital computer could simulate human behavior without replicating subjective experience, according to Integrated Information Theory (IIT). Using simple Boolean units, the authors show that two systems can be functionally equivalent—one simulating the other—yet not phenomenally equivalent. This contradicts computational functionalism, which holds that performing the right computations is necessary and sufficient for consciousness. The analysis demonstrates that functional equivalence does not guarantee phenomenal equivalence, and this conclusion holds regardless of the simulated system's function. Even a computer that simulates neurons in the brain may not experience sights, sounds, or thoughts as humans do.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Cs.ai Cs.cy Q-bio.nc
Key finding Argues that two systems can be functionally equivalent without being phenomenally equivalent, and that a digital computer can simulate human behavior without replicating conscious experience.

Abstract

Developments in machine learning and computing power suggest that artificial general intelligence is within reach. This raises the question of artificial consciousness: if a computer were to be functionally equivalent to a human, being able to do all we do, would it experience sights, sounds, and thoughts, as we do when we are conscious? Answering this question in a principled manner can only be done on the basis of a theory of consciousness that is grounded in phenomenology and that states the necessary and sufficient conditions for any system, evolved or engineered, to support subjective experience. Here we employ Integrated Information Theory (IIT), which provides principled tools to determine whether a system is conscious, to what degree, and the content of its experience. We consider pairs of systems constituted of simple Boolean units, one of which -- a basic stored-program computer -- simulates the other with full functional equivalence. By applying the principles of IIT, we demonstrate that (i) two systems can be functionally equivalent without being phenomenally equivalent, and (ii) that this conclusion is not dependent on the simulated system's function. We further demonstrate that, according to IIT, it is possible for a digital computer to simulate our behavior, possibly even by simulating the neurons in our brain, without replicating our experience. This contrasts sharply with computational functionalism, the thesis that performing computations of the right kind is necessary and sufficient for consciousness.

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