Understanding use of evidence in AI ethics guidelines development through a PRISMA-ETHICS informed scoping review of guidelines

• Emerging technologies present novel ethical challenges, but it is not clear how guidelines respond to these. • Ethics guidelines can be informed by evidence, and evidence synthesis, in their development. • This scoping review indicates a lack of clarity in guideline development and evaluation. • Drawing on analysed sources, the paper provides recommendations for model processes and guideline structures for the development of guidelines. • A focus on guidelines as learning resources, provides framing for guideline development towards learning to navigate ethics. There have been recent calls for new ethics guidelines regarding the use of artificial intelligence in research. How should we go about developing such ethics guidance documents with respect to emerging contexts such as new technologies, and established domains such as research in education? This paper provides a PRISMA-ETHICS informed scoping review of approaches to ethics guideline development, the structures of ethics guidelines, and their audiences and purposes drawing on the context of education and AI. A search of scholarly and grey literature was conducted to identify both ethics guidelines and material discussing their development; n = 592 distinct items were identified, including 182 that identified via recent reviews of AI ethics guidelines. n = 47 guideline-sets were identified as ‘guidelines’. Guidelines were analysed with respect to their development approach, audience and purpose, and structural elements through which guidance is delivered; most included statements regarding their development approach (79 %) and audience (72 %). Where evidence underpinning the guidance was discussed, it was largely at a global content level (69 %), rather than with respect to the specific context/domain of the guideline use, principles drawn on, or approaches and strategies one might adopt in navigating ethical issues (23, 29, and 21 % respectively). Across the guidelines the only universal feature was the provision of an overview statement. We conclude with recommendations regarding the development of ethics guidelines, and their structure. No external funding was received. The review was not pre-registered.

Authors

Institutions

Publication Details

Journal
Computers and Education Open
Published
2025-08-08
DOI
https://doi.org/10.1016/j.caeo.2025.100281
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding use of evidence in AI ethics guidelines development through a PRISMA-ETHICS informed scoping review of guidelines

Simon Knight
1 citations
Computers and Education Open
Ethics and Social Impacts of AI
2.37
article

Understanding use of evidence in AI ethics guidelines development through a PRISMA-ETHICS informed scoping review of guidelines

Simon Knight
article en
1 citations

Abstract

• Emerging technologies present novel ethical challenges, but it is not clear how guidelines respond to these. • Ethics guidelines can be informed by evidence, and evidence synthesis, in their development. • This scoping review indicates a lack of clarity in guideline development and evaluation. • Drawing on analysed sources, the paper provides recommendations for model processes and guideline structures for the development of guidelines. • A focus on guidelines as learning resources, provides framing for guideline development towards learning to navigate ethics. There have been recent calls for new ethics guidelines regarding the use of artificial intelligence in research. How should we go about developing such ethics guidance documents with respect to emerging contexts such as new technologies, and established domains such as research in education? This paper provides a PRISMA-ETHICS informed scoping review of approaches to ethics guideline development, the structures of ethics guidelines, and their audiences and purposes drawing on the context of education and AI. A search of scholarly and grey literature was conducted to identify both ethics guidelines and material discussing their development; n = 592 distinct items were identified, including 182 that identified via recent reviews of AI ethics guidelines. n = 47 guideline-sets were identified as ‘guidelines’. Guidelines were analysed with respect to their development approach, audience and purpose, and structural elements through which guidance is delivered; most included statements regarding their development approach (79 %) and audience (72 %). Where evidence underpinning the guidance was discussed, it was largely at a global content level (69 %), rather than with respect to the specific context/domain of the guideline use, principles drawn on, or approaches and strategies one might adopt in navigating ethical issues (23, 29, and 21 % respectively). Across the guidelines the only universal feature was the provision of an overview statement. We conclude with recommendations regarding the development of ethics guidelines, and their structure. No external funding was received. The review was not pre-registered.

Computers and Education OpenVol. 9
University of Technology Sydney (AU), University College London (GB)
Openalex Percentile: Top 10%
Ethics and Social Impacts of AI
2.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.