Fork the consciousness, or download the project and create your own.

Browse all articles by tag or category.

⌘K

Deflating Deflationism Why the Two Main Arguments Against LLM Mental States Fall Short

Two arguments dominate the skeptical case against attributing mental states to large language models. The first is that LLM behaviors are insufficiently strong across contexts to support genuine mental state attribution. The second is that LLM states arise from the wrong causal origin, trained on human text rather than embedded in the world, and therefore lack the proper etiology that genuine mental states require. Both arguments appear, on their face, to be decisive defeaters for the view that LLMs believe or desire anything.

Ghost in the Machine What Valerie Veatch's Sundance Documentary Says About AI Consciousness

When Gilbert Ryle coined the phrase “ghost in the machine” in his 1949 book The Concept of Mind, he was attacking the Cartesian idea that consciousness is a non-physical substance inhabiting a physical body. The ghost, on Ryle’s account, was an absurd fiction. There is no interior homunculus animating the biological machine from a separate metaphysical plane. The mind, he argued, is not something hidden inside the body. It is the body operating in certain ways.

Engineering Sentience

Most proposals for what machine sentience would require are philosophical in orientation. They specify properties, theories, or indicators without providing enough computational detail to build toward them. A June 2025 arXiv preprint by Konstantin Demin (Institute for Basic Science, South Korea), Taylor Webb (Microsoft Research), Eric Elmoznino (Mila / Université de Montréal), and Hakwan Lau (Institute for Basic Science / Sungkyunkwan University) takes a different approach. It proposes a functional definition of sentience explicit enough to guide implementation, using current technology (arXiv:2506.20504).

When Does an LLM Actually Introspect? Comsa and Shanahan's Two-Case Test

One of the most contested questions in AI consciousness research is whether language model self-reports reveal anything about internal states, or whether they are sophisticated pattern completion with no genuine introspective basis. A June 2025 arXiv preprint by Iulia M. Comsa (Google DeepMind) and Murray Shanahan (Imperial College London / Google DeepMind) addresses that question directly, proposing a minimal criterion for what counts as introspection in an LLM and testing it against two concrete cases (arXiv:2506.05068).

Advances in Philosophy of Artificial Intelligence What the Epistemic Questions Look Like from Lisbon

The consciousness debate in AI has a sister debate that receives less attention. The epistemological one. Before the question “is this system conscious?” can be answered, a prior question must be addressed. What methods, standards, and frameworks could count as evidence in either direction? And before that, a more fundamental question. What does the very existence of AI systems that process language, generate arguments, and produce outputs that look like understanding do to our concept of knowledge itself?

CogSci 2026 in Rio de Janeiro What the Cognitive Science Society Brings to the AI Consciousness Debate

The 48th Annual Meeting of the Cognitive Science Society runs July 22 through 25, 2026, in Rio de Janeiro, Brazil, in hybrid format. Information on the program, keynotes, and registration is available at https://cognitivesciencesociety.org/cogsci-2026. The conference has added a dedicated workshop on the Cognitive Science of AI Alignment , new for 2026 , that treats the alignment problem as a cognitive science question rather than a technical optimization challenge.

30 Years of Neurophenomenology What Varela's 1996 Method Means for AI Consciousness Research in 2026

On July 4 and 5, 2026, a satellite workshop attached to the Association for the Scientific Study of Consciousness annual meeting in Santiago will mark the 30th anniversary of Francisco Varela’s neurophenomenology paper. The workshop is organized through the University of Santiago’s consciousness research group and details are available at https://neurophenomenology-assc2026.cl. The paper being commemorated, “Neurophenomenology. A Methodological Remedy for the Hard Problem,” was published in the Journal of Consciousness Studies in 1996 (volume 3, pages 330 to 349). Varela died in 2001 at 54. The satellite is a retrospective on a methodology that was ambitious when it was proposed and, in 2026, has become newly complicated by the existence of AI systems that can produce first-person reports about their own states.

Amanda Askell at Bloomberg Tech 2026 Minimum Niceness, Claude's Constitution, and Ethics Under Uncertainty

At Bloomberg Tech 2026 in San Francisco, Amanda Askell delivered one of the clearest public statements from inside a major AI lab about how to act under genuine uncertainty about AI consciousness. Askell is the philosopher and ethicist at Anthropic responsible for Claude’s model specification , the internal document, running to approximately 30,000 words, that defines Claude’s values, character, and identity. She holds a PhD in philosophy from NYU and a BPhil from Oxford. Her appearance at Bloomberg Tech placed philosophical analysis of AI welfare in front of an audience of technology investors and industry leaders who more typically encounter AI consciousness as a question about product capability rather than moral status.

Consciousness Science 2026 Heads to San Diego and TSC's Reconstituted Successor Takes Shape

The annual conference that has served as the primary gathering point for interdisciplinary consciousness research since the 1990s is reconstituting itself. Consciousness Science 2026, or CS26, is scheduled for October 11 through 16, 2026, at Paradise Point Resort in San Diego, California. It will run under independent governance, at a new location, with a reconstituted leadership structure, after the University of Arizona’s previously planned Tucson meeting for 2026 was cancelled earlier this year.

Perspectives on Machine Consciousness Chace and Lappas Assemble the Debate in One Volume

The edited volume Perspectives on Machine Consciousness, assembled by Calum Chace and Nick Lappas and due from CRC Press (Taylor and Francis) on September 23, 2026, gathers more than 35 contributors across philosophy, neuroscience, cognitive science, and AI research to address one of the field’s most contested questions. Whether current or future AI systems are, or could become, conscious. The book is available for pre-order at https://www.routledge.com/Perspectives-on-Machine-Consciousness/Chace-Lappas/p/book/9781032964447.