Dissociating Artificial Intelligence from Artificial Consciousness
Graham Findlay, William Marshall, Larissa Albantakis, Isaac David,, William GP Mayner, Christof Koch, Giulio Tononi

TL;DR
This paper uses Integrated Information Theory to argue that functional equivalence in systems does not imply shared consciousness, highlighting that digital simulations can replicate behavior without experiencing consciousness.
Contribution
It applies IIT to compare functionally equivalent systems, showing they can differ in consciousness, challenging computational functionalism.
Findings
Functionally equivalent systems can differ in consciousness.
Digital computers can simulate behavior without experiencing consciousness.
IIT provides a framework to assess consciousness in artificial systems.
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…
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Taxonomy
TopicsComputational Physics and Python Applications
