Developing validated tests for consciousness (C-tests) applicable to many different systems is a key challenge for consciousness science. We suggest a framework for doing so, highlighting fundamental challenges with respect to validation.We propose a four-dimensional space within which potential C-tests can be positioned.We suggest that a promising strategy is to focus on non-trivial human cases (infants, fetuses, disorders of consciousness) and then progress toward nonhuman systems (animals, artificial intelligence, neural organoids).C-tests can inform and shape our understanding of consciousness and our evaluation of theories of consciousness.
%0 Journal Article
%1 bayne2024tests
%A Bayne, Tim
%A Seth, Anil K.
%A Massimini, Marcello
%A Shepherd, Joshua
%A Cleeremans, Axel
%A Fleming, Stephen M.
%A Malach, Rafael
%A Mattingley, Jason B.
%A Menon, David K.
%A Owen, Adrian M.
%A Peters, Megan A.K
%A Razi, Adeel
%A Mudrik, Liad
%B Trends in Cognitive Sciences
%D 2024
%I Elsevier
%J Trends in Cognitive Sciences
%K animal_consciousness artificial_intelligence disorders_of_consciousness fetal_consciousness infant_consciousness neural_organoids neuroscience test_for_consciousness
%R 10.1016/j.tics.2024.01.010
%T Tests for consciousness in humans and beyond
%U https://doi.org/10.1016/j.tics.2024.01.010
%X Developing validated tests for consciousness (C-tests) applicable to many different systems is a key challenge for consciousness science. We suggest a framework for doing so, highlighting fundamental challenges with respect to validation.We propose a four-dimensional space within which potential C-tests can be positioned.We suggest that a promising strategy is to focus on non-trivial human cases (infants, fetuses, disorders of consciousness) and then progress toward nonhuman systems (animals, artificial intelligence, neural organoids).C-tests can inform and shape our understanding of consciousness and our evaluation of theories of consciousness.
@article{bayne2024tests,
abstract = {Developing validated tests for consciousness (C-tests) applicable to many different systems is a key challenge for consciousness science. We suggest a framework for doing so, highlighting fundamental challenges with respect to validation.We propose a four-dimensional space within which potential C-tests can be positioned.We suggest that a promising strategy is to focus on non-trivial human cases (infants, fetuses, disorders of consciousness) and then progress toward nonhuman systems (animals, artificial intelligence, neural organoids).C-tests can inform and shape our understanding of consciousness and our evaluation of theories of consciousness.},
added-at = {2024-03-23T17:39:22.000+0100},
author = {Bayne, Tim and Seth, Anil K. and Massimini, Marcello and Shepherd, Joshua and Cleeremans, Axel and Fleming, Stephen M. and Malach, Rafael and Mattingley, Jason B. and Menon, David K. and Owen, Adrian M. and Peters, Megan A.K and Razi, Adeel and Mudrik, Liad},
biburl = {https://www.bibsonomy.org/bibtex/2ba4c0d3066f730de8153eb6d0f51d788/tabularii},
booktitle = {Trends in Cognitive Sciences},
comment = {doi: 10.1016/j.tics.2024.01.010},
doi = {10.1016/j.tics.2024.01.010},
interhash = {770636021dabe50e9d8ca235da1c8ad7},
intrahash = {ba4c0d3066f730de8153eb6d0f51d788},
issn = {13646613},
journal = {Trends in Cognitive Sciences},
keywords = {animal_consciousness artificial_intelligence disorders_of_consciousness fetal_consciousness infant_consciousness neural_organoids neuroscience test_for_consciousness},
publisher = {Elsevier},
timestamp = {2024-03-23T17:39:22.000+0100},
title = {Tests for consciousness in humans and beyond},
url = {https://doi.org/10.1016/j.tics.2024.01.010},
year = 2024
}