Cited by 25Explainable Artificial Intelligence (XAI)Topic ModelingNatural Language Processing Techniques

How does ChatGPT ‘think’? Psychology and neuroscience crack open AI large language models

Hutson, Matthew·2024·Nature

Integrity signals

Registry

Crossref · 10.1038/d41586-024-01314-y

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • AI customers' actions can be analyzed through psychological concepts such as motivation, learning, social interaction, and persuasion.

    “As AI customers learn from feedback, adapt to user preferences, and coordinate with humans and other machines, their actions can be analyzed through psychological concepts such as motivation, learning, social interaction, and persuasion (Hutson 2024).”

    From Machine marketing: rethinking the customer in the age of generative AI (2026) · cites this paper as Hutson 2024

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Hutson, M.
Corresponding author
Hutson, Matthew
Venue
Nature
Published
2024-05-14
Volume
629
Issue
8014
Pages
986-988
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W4396894256
Cited by
25
References
2
Citations by year
2026: 8 · 2025: 12 · 2024: 5
FWCI
3.70
Type
journal article
Language
en
Open access
closed
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
Keywords
large language models, ChatGPT, AI cognition, explainable AI
MeSH terms
Artificial Intelligence, Humans, Language, Neurosciences, Psychology

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review