Is it possible to identify phenomenal consciousness in artificial systems in the light of the gaming problem?

We analyze the question how phenomenal consciousness (if any) might be identified in artificial systems with specific reference to the gaming problem (i.e., the fact that the artificial system is trained with human-generated data, so that possible behavioral and/or functional evidence of consciousness is not reliable). Our goal is to review selected illustrative approaches for advancing in this direction. We highlight strengths and shortcomings of each approach, finally proposing a combination of different strategies as a promising task to pursue

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-03
DOI
https://doi.org/10.5281/zenodo.17255877
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Is it possible to identify phenomenal consciousness in artificial systems in the light of the gaming problem?

Zenodo (CERN European Organization for Nuclear Research)
EEG and Brain-Computer Interfaces
article

Is it possible to identify phenomenal consciousness in artificial systems in the light of the gaming problem?

article en

Abstract

We analyze the question how phenomenal consciousness (if any) might be identified in artificial systems with specific reference to the gaming problem (i.e., the fact that the artificial system is trained with human-generated data, so that possible behavioral and/or functional evidence of consciousness is not reliable). Our goal is to review selected illustrative approaches for advancing in this direction. We highlight strengths and shortcomings of each approach, finally proposing a combination of different strategies as a promising task to pursue

Zenodo (CERN European Organization for Nuclear Research)
Uppsala University (SE), Biogem (IT)
Openalex Percentile: Top 45%
EEG and Brain-Computer Interfaces
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