AI ethics education: A systematic literature review

The potential of AI technology to transform human life, well-being, and daily work is faced with numerous risks and challenges yet to be fully accounted for. However, the complexity of AI ethics makes it hard to pin down what to teach, how to teach it, and how to assess its effectiveness. Drawing on...

Full description

Saved in:
Bibliographic Details
Main Authors: Lucas J. Wiese, Indira Patil, Daniel S. Schiff, Alejandra J. Magana
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Computers and Education: Artificial Intelligence
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666920X25000451
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850223278920040448
author Lucas J. Wiese
Indira Patil
Daniel S. Schiff
Alejandra J. Magana
author_facet Lucas J. Wiese
Indira Patil
Daniel S. Schiff
Alejandra J. Magana
author_sort Lucas J. Wiese
collection DOAJ
description The potential of AI technology to transform human life, well-being, and daily work is faced with numerous risks and challenges yet to be fully accounted for. However, the complexity of AI ethics makes it hard to pin down what to teach, how to teach it, and how to assess its effectiveness. Drawing on an educational perspective, this paper presents a systematic literature review and qualitative analysis of the early years of AI ethics education as a formalized field to analyze whether its future trajectory is aligned with educational best practices. Our review highlights core challenges in AI ethics education and the content, assessment, and pedagogy used in real interventions over recent years. We find that efforts to teach AI ethics do helpfully draw on a holistic view (as opposed to a narrow view), and utilize progressive pedagogies like case studies and group projects that aim to meaningfully challenge students’ ethical reasoning skills in applied practices. However, many real- world AI ethics teaching interventions do not leverage well-supported assessment techniques known to support student learning; rather, assessment is conducted primarily for research evaluative purposes. This gap in rigorous assessment raises implications for researchers and practitioners, as responsible development and use of AI will be stymied if educators cannot successfully determine whether students have truly learned relevant AI ethics content or skills.
format Article
id doaj-art-bfaceb3fb0f44e86a8c9a1d34ca77bb9
institution OA Journals
issn 2666-920X
language English
publishDate 2025-06-01
publisher Elsevier
record_format Article
series Computers and Education: Artificial Intelligence
spelling doaj-art-bfaceb3fb0f44e86a8c9a1d34ca77bb92025-08-20T02:06:00ZengElsevierComputers and Education: Artificial Intelligence2666-920X2025-06-01810040510.1016/j.caeai.2025.100405AI ethics education: A systematic literature reviewLucas J. Wiese0Indira Patil1Daniel S. Schiff2Alejandra J. Magana3Department of Computer and Information Technology, Purdue University, 401 Grant St, West Lafayette, IN, 47907, USA; Corresponding author.Department of Political Science, Purdue University, 401 Grant St, West Lafayette, IN, 47907, USADepartment of Political Science, Purdue University, 401 Grant St, West Lafayette, IN, 47907, USADepartment of Computer and Information Technology, Purdue University, 401 Grant St, West Lafayette, IN, 47907, USA; Department of Engineering Education, Purdue University, 401 Grant St, West Lafayette, IN, 47907, USAThe potential of AI technology to transform human life, well-being, and daily work is faced with numerous risks and challenges yet to be fully accounted for. However, the complexity of AI ethics makes it hard to pin down what to teach, how to teach it, and how to assess its effectiveness. Drawing on an educational perspective, this paper presents a systematic literature review and qualitative analysis of the early years of AI ethics education as a formalized field to analyze whether its future trajectory is aligned with educational best practices. Our review highlights core challenges in AI ethics education and the content, assessment, and pedagogy used in real interventions over recent years. We find that efforts to teach AI ethics do helpfully draw on a holistic view (as opposed to a narrow view), and utilize progressive pedagogies like case studies and group projects that aim to meaningfully challenge students’ ethical reasoning skills in applied practices. However, many real- world AI ethics teaching interventions do not leverage well-supported assessment techniques known to support student learning; rather, assessment is conducted primarily for research evaluative purposes. This gap in rigorous assessment raises implications for researchers and practitioners, as responsible development and use of AI will be stymied if educators cannot successfully determine whether students have truly learned relevant AI ethics content or skills.http://www.sciencedirect.com/science/article/pii/S2666920X25000451AI ethicsSystematic literature reviewAI educationEthics educationAssessmentMeasurement
spellingShingle Lucas J. Wiese
Indira Patil
Daniel S. Schiff
Alejandra J. Magana
AI ethics education: A systematic literature review
Computers and Education: Artificial Intelligence
AI ethics
Systematic literature review
AI education
Ethics education
Assessment
Measurement
title AI ethics education: A systematic literature review
title_full AI ethics education: A systematic literature review
title_fullStr AI ethics education: A systematic literature review
title_full_unstemmed AI ethics education: A systematic literature review
title_short AI ethics education: A systematic literature review
title_sort ai ethics education a systematic literature review
topic AI ethics
Systematic literature review
AI education
Ethics education
Assessment
Measurement
url http://www.sciencedirect.com/science/article/pii/S2666920X25000451
work_keys_str_mv AT lucasjwiese aiethicseducationasystematicliteraturereview
AT indirapatil aiethicseducationasystematicliteraturereview
AT danielsschiff aiethicseducationasystematicliteraturereview
AT alejandrajmagana aiethicseducationasystematicliteraturereview