Identifying indicators of consciousness in AI systems

The paper proposes a systematic method for assessing consciousness in AI systems by deriving empirically testable indicators from existing neuroscientific theories of consciousness, particularly computational functionalist theories. This approach addresses the urgent need to evaluate whether current or future AI systems possess consciousness while navigating risks of both under- and over-attribution. The authors argue that drawing implications from established consciousness theories enables meaningful progress in determining AI consciousness despite significant uncertainty in consciousness science.

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