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Xu Ji

3 papers in the library · 13 citations · publishing 2023-2026

Papers

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Identifying indicators of consciousness in AI systems.

Trends in Cognitive Sciences June 1, 2026 Patrick Butlin, Robert Long, Tim Bayne et al.

Rapid progress in artificial intelligence (AI) capabilities has drawn fresh attention to the prospect of consciousness in AI. There is an urgent need for rigorous methods to assess AI systems for consciousness, but significant uncertainty about relevant issues in consciousness science. We present a method for assessing AI systems for consciousness that involves exploring what follows from...

Sources of richness and ineffability for phenomenally conscious states.

Neuroscience of Consciousness 2024 Xu Ji, Eric Elmoznino, George Deane et al. 13 citations

Conscious states-state that there is something it is like to be in-seem both rich or full of detail and ineffable or hard to fully describe or recall. The problem of ineffability, in particular, is a longstanding issue in philosophy that partly motivates the explanatory gap: the belief that consciousness cannot be reduced to underlying physical processes. Here, we provide an information...

Consciousness in Artificial Intelligence: Insights from the Science of Consciousness

arXiv Preprint Archive August 17, 2023 Patrick Butlin, Robert Long, Eric Elmoznino et al.

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...