Evidence map›Paper›PMID 40123640›Full record

ArticleProceedings (MDPI)2025

The Double-Edged Sword of Anthropomorphism in LLMs

Madeline G Reinecke, Fransisca Ting, Julian Savulescu, Ilina Singh

Abstract read
In one paragraph

Article in Proceedings (MDPI), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Madeline G ReineckeUehiro Oxford Institute, University of Oxford, Oxford OX1 1PT, UK.ORCID https://orcid.org/0000-0002-5944-0209
Fransisca TingDepartment of Psychology, University of Toronto, Toronto, ON M5S 3G, Canada.ORCID https://orcid.org/0000-0003-3947-0707
Julian Savulescu *Uehiro Oxford Institute, University of Oxford, Oxford OX1 1PT, UK.ORCID https://orcid.org/0000-0003-1691-6403
Ilina Singh *Uehiro Oxford Institute, University of Oxford, Oxford OX1 1PT, UK.ORCID https://orcid.org/0000-0003-4497-3587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans may have evolved to be "hyperactive agency detectors". Upon hearing a rustle in a pile of leaves, it would be safer to assume that an agent, like a lion, hides beneath (even if there may ultimately be nothing there). Can this evolutionary cognitive mechanism-and related mechanisms of anthropomorphism-explain some of people's contemporary experience with using chatbots (e.g., ChatGPT, Gemini)? In this paper, we sketch how such mechanisms may engender the seemingly irresistible anthropomorphism of large language-based chatbots. We then explore the implications of this within the educational context. Specifically, we argue that people's tendency to perceive a "mind in the machine" is a double-edged sword for educational progress: Though anthropomorphism can facilitate motivation and learning, it may also lead students to trust-and potentially over-trust-content generated by chatbots. To be sure, students do seem to recognize that LLM-generated content may, at times, be inaccurate. We argue, however, that the rise of anthropomorphism towards chatbots will only serve to further camouflage these inaccuracies. We close by considering how research can turn towards aiding students in becoming digitally literate-avoiding the pitfalls caused by perceiving agency and humanlike mental states in chatbots.

Indexed as

anthropomorphismartificial intelligenceeducationhyperactive agency detection (HAAD)

Identifiers

PMID40123640
PMCPMC7617520

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.