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How to Catch an AI Zombie

Susan Schneider

Ethics of Artificial Intelligence September 17, 2020 DOI: 10.1093/oso/9780190905033.003.0016 (opens in new tab)

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AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Key points The chapter proposes a provisional framework of tests or markers for investigating artificial consciousness: the AI Consciousness Test, a test based on Integrated Information Theory, and a Chip Test involving gradual brain replacement with microchips. It argues that if a person undergoing brain replacement continued to report phenomenal consciousness, this could be reason to believe some machines could have consciousness.

Abstract

Abstract: How can we determine if AI is conscious? The chapter begins by illustrating that there are potentially very serious real-world costs to getting facts about AI consciousness wrong. It then proposes a provisional framework for investigating artificial consciousness that involves several tests or markers. One test is the AI Consciousness Test, which challenges an AI with a series of increasingly demanding natural-language interactions. Another test is based on the Integrated Information Theory, developed by Giulio Tononi and others, and considers whether a machine has a high level of “integrated information.” A third test is a Chip Test, where speculatively an individual’s brain is gradually replaced with durable microchips. If this individual being tested continues to report having phenomenal consciousness, the chapter argues that this could be a reason to believe that some machines could have consciousness.

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