Evidence map›Paper›PMID 38618488›Full record

ArticleNeuroscience of consciousness2024

Folk psychological attributions of consciousness to large language models.

Clara Colombatto, Stephen M Fleming

Abstract read
In one paragraph

Article in Neuroscience of consciousness, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Three frameworks for AI mentality.Frontiers in psychology · 2026
    Article
  8. Reappraising intuitions about consciousness.Frontiers in psychology · 2026
    Article
  9. Article
  10. Privacy and Human-AI Relationships.Philosophy & technology · 2025
    Article
  11. The benefits and dangers of anthropomorphic conversational agents.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
  14. Does neural computation feel like something?Frontiers in neuroscience · 2025
    Article
  15. Sharing the World-A Social Aspect of Consciousness.Open mind : discoveries in cognitive science · 2025
    Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Clara ColombattoDepartment of Experimental Psychology, University College London, 26 Bedford Way, London WC1H 0AP, United Kingdom.ORCID https://orcid.org/0000-0003-3293-8741
Stephen M FlemingDepartment of Experimental Psychology, University College London, 26 Bedford Way, London WC1H 0AP, United Kingdom.ORCID https://orcid.org/0000-0003-0233-4891

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological advances raise new puzzles and challenges for cognitive science and the study of how humans think about and interact with artificial intelligence (AI). For example, the advent of large language models and their human-like linguistic abilities has raised substantial debate regarding whether or not AI could be conscious. Here, we consider the question of whether AI could have subjective experiences such as feelings and sensations ('phenomenal consciousness'). While experts from many fields have weighed in on this issue in academic and public discourse, it remains unknown whether and how the general population attributes phenomenal consciousness to AI. We surveyed a sample of US residents (

Indexed as

artificial intelligencefolk psychologylarge language modelsmind perceptionphenomenal consciousnesssubjective experience

Identifiers

PMID38618488
PMCPMC11008499

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.