Tests for consciousness in humans and beyond.
Tim Bayne, Anil K. Seth, Marcello Massimini, Joshua Shepherd, Axel Cleeremans, Stephen M Fleming, Rafael Malach, J. Mattingley, David K. Menon, Adrian M. Owen, Megan A. K. Peters, Adeel Razi, L. Mudrik
Trends in Cognitive Sciences March 1, 2024 DOI: 10.1016/j.tics.2024.01.010 (opens in new tab) via Semantic Scholar
Summary
AI-generated from the abstractNew tests for consciousness (C-tests) are urgently needed to resolve uncertainty about when consciousness arises in human development, when it is lost due to neurological disorders and brain injury, and how it is distributed in nonhuman species. This need is amplified by recent developments in AI, neural organoids, and xenobot technology. Existing C-tests are of limited use, and no tests exist for many critical populations. The paper identifies challenges facing any attempt to develop C-tests, proposes a multidimensional classification of such tests, and identifies strategies for validating them.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Medicine Philosophy |
| Key finding | Argues that current tests for consciousness are inadequate and proposes a multidimensional classification and validation strategies for new tests. |
Abstract
Which systems/organisms are conscious? New tests for consciousness ('C-tests') are urgently needed. There is persisting uncertainty about when consciousness arises in human development, when it is lost due to neurological disorders and brain injury, and how it is distributed in nonhuman species. This need is amplified by recent and rapid developments in artificial intelligence (AI), neural organoids, and xenobot technology. Although a number of C-tests have been proposed in recent years, most are of limited use, and currently we have no C-tests for many of the populations for which they are most critical. Here, we identify challenges facing any attempt to develop C-tests, propose a multidimensional classification of such tests, and identify strategies that might be used to validate them.