David Chalmers
David Chalmers gave the field its central problem and its vocabulary. The hard problem is the question of why physical processing is accompanied by experience at all, as distinct from the easy problems of explaining discrimination, integration, reportability and control. Those easy problems are hard in the ordinary sense and will yield to normal science. The hard one is different in kind, because a complete functional account leaves the question untouched.
His position on artificial systems follows from that and is more permissive than his reputation suggests. Chalmers holds that consciousness is not obviously tied to biology, that a system with the right organisation could be conscious, and that current language models probably are not but that the reasons for confidence are weaker than people assume. He has put explicit probabilities on it rather than asserting a verdict, which is unusual and useful.
The caution he urges is epistemic. We are poor judges of which systems are conscious, our intuitions were shaped by encountering only biological minds, and a system trained on human text is optimised to produce exactly the signals those intuitions respond to. That is a different worry from the claim that machines cannot be conscious, and the two are frequently conflated.
Known for. Naming the hard problem of consciousness, and the philosophical zombie argument
Coverage on this site
- David Chalmers Moral Weight and the Probability of LLM Sentience in 2026 August 2026
- Anil Seth Mythology of Conscious AI Biological Naturalism Berggruen Prize Essay August 2026
- Andy Clark's Predictive Processing Framework and What It Actually Implies for LLMs July 2026
- What AI Researchers Actually Believe About AI Subjective Experience July 2026
- The Zombie Gap in AI Consciousness Where 2026 Biological Naturalism Research Draws the Line June 2026
- Emergent Language as an Approach to Conscious AI and A Generative Methodology from Osaka June 2026
- Belief Formation and Meta-Cognitive Monitoring in LLMs and Empirical Support for the HOT-3 Consciousness Indicator June 2026
- ICCS 2025 What Chalmers, Frankish, and Blackmore Found to Disagree About in Heraklion May 2026
- Chalmers on LLMs Virtual Entities, Quasi-Agency, and the Question of AI Welfare May 2026
- Consciousness Indicators, Mimicry, and the Problem of Internal Variants May 2026
- The Calibration Problem Why AI Consciousness Indicators Need Biological Grounding May 2026
- Two Books, One Argument and Stephen Hawley Martin's Case Against AI Consciousness April 2026
- Can We Validate AI Consciousness Indicators? The Hard Problem Behind the Checklist April 2026
- From HAL 9000 to Chappie How Cinema Has Theorized AI Consciousness Across Six Decades March 2026
- What Would AI Consciousness Actually Look Like? The 14-Indicator Checklist Explained March 2026
Every researcher covered on this site is indexed in the directory of consciousness researchers, grouped by the position their published work defends. The positions themselves are set out in the index of consciousness theories.