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« Identifying indicators of consciousness in AI systems »

Jonathan Simon (Université de Montréal) est coauteur d’un nouvel article intitulé « Identifying indicators of consciousness in AI systems », publié dans la revue Trends in Cognitive Sciences. Parmi les auteur.es ayant contribué à cet article figurent Axel Constant (Université de Sussex) et George Deane (Université de Montréal), deux anciens chercheurs postdoctoraux du CRÉ.

Résumé

The prospect of consciousness in artificial intelligence (AI) systems increasingly demands attention given recent advances in AI and increasing capacity to reproduce features of the brain that are associated with consciousness. There are risks of both under- and over-attribution of consciousness to AI systems, entailing a need for methods to assess whether current or future AI systems are likely to be conscious. We argue that progress can be made by drawing out the implications of some neuroscientific theories of consciousness. We outline a method that involves deriving indicators from theories and using them to assess particular AI systems.