Evidence map›Paper›PMID 40959538›Full record

ArticleAI and ethics2025

Unpacking the ethics of using AI in primary and secondary education: a systematic literature review.

Michał Wieczorek, Mohammad Hosseini, Bert Gordijn

Abstract read
In one paragraph

Article in AI and ethics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Engaging with Film to Teach Students About Virtuous Outsourcing of Cognitive Tasks to LLMs.Digital society : ethics, socio-legal and governance of digital technology · 2025
    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

3 authors.

Michał WieczorekDublin City University, Dublin, Ireland.
Mohammad HosseiniNorthwestern University, Evanston, United States.
Bert GordijnDublin City University, Dublin, Ireland.

Funding

NUCATS CTSA UM1 at Northwestern UniversityUM1TR005121 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Sara Becker, Richard D'Aquila · 2024 to 2026
$23.4M
NCATS NIH HHS UM1 TR005121
6 · The paper itself

Abstract

This paper provides a systematic review of the literature discussing the ethics of using artificial intelligence in primary and secondary education (AIPSED). Although recent advances in AI have led to increased interest in its use in education, discussions about the ethical implications of this new development are dispersed. Our literature review consolidates discussions that occurred in different epistemic communities interested in AIPSED and offers an ethical analysis of the debate. The review followed the PRISMA-Ethics guidelines and included 48 sources published between 2016 and 2023. Using a thematic approach, we subsumed the ethical implications of AIPSED under seventeen categories, with four outlining potential positive developments and thirteen identifying perceived negative consequences. We argue that empirical research and in-depth engagement with ethical theory and philosophy of education is needed to adequately assess the challenges introduced by AIPSED.

Indexed as

Artificial intelligenceEducationEthicsPrimary and secondary schoolsSystematic literature review

Identifiers

PMID40959538
PMCPMC12434897

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.