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The contrast problem and a triangulation approach to AI consciousness

Resource type
Preprint
Authors/contributors
Title
The contrast problem and a triangulation approach to AI consciousness
Abstract
It has been suggested we may see conscious AI systems within the next few decades. Somewhat lost in these expectations is the fact that we still do not understand the nature of consciousness in humans, and we currently have as little empirical handle on how to measure the presence or absence of subjective experience in humans as we do in AI systems. In the history of consciousness research, no behaviour or cognitive function has ever been identified as a necessary condition for consciousness. For this reason, no behavioural marker exists for scientists to identify the presence or absence of consciousness ‘from the outside’. This results in a circularity in our measurements of consciousness. The problem is that we need to make an ultimately unwarranted assumption about who or what is conscious in order to create experimental contrasts and conduct studies that will ground our decisions about who or what is conscious. Call this the Contrast Problem. Here we explicate the contrast problem, highlight some upshots of it, and consider a way forward.
Genre
SSRN Scholarly Paper
Repository
Social Science Research Network
Archive ID
5736366
Place
Rochester, NY
Date
2025-11-11
Accessed
12/1/25, 9:23 AM
Language
en
Library Catalog
Citation
Kirkeby-Hinrup, A., & Overgaard, M. (2025). The contrast problem and a triangulation approach to AI consciousness (SSRN Scholarly Paper No. 5736366). Social Science Research Network. https://doi.org/10.2139/ssrn.5736366