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How to Catch an AI Zombie: Testing for Consciousness in Machines

Resource type
Book Section
Authors/contributors
Title
How to Catch an AI Zombie: Testing for Consciousness in Machines
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.
Book Title
Ethics of Artificial Intelligence
Edition
1
Publisher
Oxford University PressNew York
Date
2020-9-17
Pages
439-458
Language
en
ISBN
978-0-19-090503-3 978-0-19-090507-1
Short Title
How to Catch an AI Zombie
Accessed
3/7/25, 7:29 AM
Library Catalog
DOI.org (Crossref)
Citation
Schneider, S. (2020). How to Catch an AI Zombie: Testing for Consciousness in Machines. In S. M. Liao (Ed.), Ethics of Artificial Intelligence (1st ed., pp. 439–458). Oxford University PressNew York. https://doi.org/10.1093/oso/9780190905033.003.0016