mlsanityData to 14 Oct 2026

AI and Consciousness: Shifting Focus Towards Tractable Questions

arXiv 2605.06965 ↗First posted 7 May 2026cs.CY cs.AI cs.HCcited by 1

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Abstract (arXiv)

As language-based AI systems become more anthropomorphic, the question of whether they can have subjective experience is increasingly pressing. I focus here on the tractability of research questions in the space of AI consciousness. I argue that the fundamental problem of whether AI systems can be conscious is currently intractable in its direct form, given the absence of a universally accepted scientific theory of consciousness, as well as the historical open-endedness of the philosophical mind-body problem. In contrast, questions around the adjacent subject of perceived AI consciousness are tractable, timely, and highly consequential for society. The general public is increasingly open to the possibility of consciousness in AI systems and routinely adopts the vocabulary of human cognition and subjective experience to describe them. This phenomenon is already driving societal shifts across user experience, ethical standards, and linguistic norms. I therefore propose an increased research focus on uncovering the causes and effects of perceived AI consciousness, which ultimately shape how we see our own human subjective experience relative to artificial entities. To support this, I map the current landscape of AI consciousness perception and discuss its key potential drivers and societal consequences. Finally, I urge developers, decision-makers, and the broader scientific community to commit to clear and accurate communication regarding the topic of AI consciousness, explicitly acknowledging its inherent uncertainties.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 22 of its 135 references that are in the map. First posted on arXiv 7 May 2026.

Builds on

22 of 135 references.

References · 22

  1. 2023GPQA: A Graduate-Level Google-Proof Q&A Benchmarkcited by 2,879
  2. 2023Role-Play with Large Language Modelscited by 294
  3. 2022Talking About Large Language Modelscited by 175
  4. 2021Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Colorcited by 119
  5. 2023Consciousness in Artificial Intelligence: Insights from the Science of Consciousnesscited by 104
  6. 2024Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Surveycited by 83
  7. 2026Emergent Introspective Awareness in Large Language Modelscited by 82
  8. 2023Could a Large Language Model be Conscious?cited by 73
  9. 2024LLMs achieve adult human performance on higher-order theory of mind taskscited by 61
  10. 2024Taking AI Welfare Seriouslycited by 31
  11. 2025Does It Make Sense to Speak of Introspection in Large Language Models?cited by 25
  12. 2025"My Boyfriend is AI": A Computational Analysis of Human-AI Companionship in Reddit's AI Communitycited by 20
10 more
  1. 2023The feasibility of artificial consciousness through the lens of neurosciencecited by 18
  2. 2024Simulacra as Conscious Exoticacited by 16
  3. 2024Can LLMs make trade-offs involving stipulated pain and pleasure states?cited by 16
  4. 2024Perceptions of Sentient AI and Other Digital Minds: Evidence from the AI, Morality, and Sentience (AIMS) Surveycited by 15
  5. 2024Is artificial consciousness achievable? Lessons from the human braincited by 11
  6. 2021The Moral Consideration of Artificial Entities: A Literature Reviewcited by 10
  7. 2023Anthropomorphization of AI: Opportunities and Riskscited by 8
  8. 2025Principles for Responsible AI Consciousness Researchcited by 7
  9. 2024Agnosticism About Artificial Consciousnesscited by 6
  10. 2026Initial results of the Digital Consciousness Modelcited by 6

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