If AI becomes conscious, how will we know? Scientists and philosophers are proposing a checklist based on theories of human consciousness

" ... Now, a group of 19 computer scientists, neuroscientists, and philosophers has come up with an approach: not a single definitive test, but a lengthy checklist of attributes that, together, could suggest but not prove an AI is conscious. In a 120-page discussion paper posted as a preprint this week, the researchers draw on theories of human consciousness to propose 14 criteria, and then apply them to existing AI architectures, including the type of model that powers ChatGPT.

None is likely to be conscious, they conclude. But the work offers a framework for evaluating increasingly humanlike AIs, says co-author Robert Long of the San Francisco–based nonprofit Center for AI Safety. “We’re introducing a systematic methodology previously lacking.”

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Source :  " Consciousness in Artificial Intelligence: Insights from the Science of Consciousness "

" Whether current or near-term AI systems could be conscious is a topic of scientific interest and increasing public concern. This report argues for, and exemplifies, a rigorous and empirically grounded approach to AI consciousness: assessing existing AI systems in detail, in light of our best-supported neuroscientific theories of consciousness. We survey several prominent scientific theories of consciousness, including recurrent processing theory, global workspace theory, higher-order theories, predictive processing, and attention schema theory. From these theories we derive "indicator properties" of consciousness, elucidated in computational terms that allow us to assess AI systems for these properties. We use these indicator properties to assess several recent AI systems, and we discuss how future systems might implement them. Our analysis suggests that no current AI systems are conscious, but also suggests that there are no obvious technical barriers to building AI systems which satisfy these indicators. "

Read the study : Consciousness in Artificial Intelligence: Insights from the Science of Consciousness