Identifying indicators of consciousness in AI systems
Rapid progress in artificial intelligence (AI) capabilities has drawn fresh attention to the prospect of consciousness in AI. There is an urgent need for rigorous methods to assess AI systems for consciousness, but significant uncertainty about relevant issues in consciousness science. We present a method for assessing AI systems for consciousness that involves exploring what follows from existing or future neuroscientific theories of consciousness. Indicators derived from such theories can be used to inform credences about whether particular AI systems are conscious. This method allows us to make meaningful progress because some influential theories of consciousness, notably including computational functionalist theories, have implications for AI that can be investigated empirically.
| Item Type | Article |
|---|---|
| Copyright holders | © 2025 The Authors |
| Departments | LSE > Academic Departments > Philosophy, Logic and Scientific Method |
| DOI | 10.1016/j.tics.2025.10.011 |
| Date Deposited | 25 Nov 2025 |
| Acceptance Date | 15 Oct 2025 |
| URI | https://researchonline.lse.ac.uk/id/eprint/130322 |
Explore Further
- Fonds de Recherche du Québec
- Social Sciences and Humanities Research Council of Canada, CRSH/SSHRC
- Templeton World Charity Foundation
- European Research Council
- European Research Council
- Australian Research Council
- European Research Council
- https://www.scopus.com/pages/publications/105025005781 (Scopus publication)
