The Prospect of Artificial Intelligence‐Supported Ethics Review

The burden of research ethics review falls not just on researchers, but also on those who serve on research ethics committees (RECs). With the advent of automated text analysis and generative artificial intelligence (AI), it has recently become possible to teach AI models to support human judgment, for example, by highlighting relevant parts of a text and suggesting actionable precedents and explanations. It is time to consider how such tools might be used to support ethics review and oversight. This essay argues that with a suitable strategy of engagement, AI can be used in a variety of ways that genuinely support RECs to manage their workload and improve the quality of review. It would be wiser to take an active role in the development of AI tools for ethics review, rather than to adopt ad hoc tools after the fact.

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Publication Details

Journal
Ethics & Human Research
Published
2024-11-01
DOI
https://doi.org/10.1002/eahr.500230
Citations
2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
1.05
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article

The Prospect of Artificial Intelligence‐Supported Ethics Review

Philip J. Nickel
2 citations
Ethics & Human Research
Ethics and Social Impacts of AI
1.05
article

The Prospect of Artificial Intelligence‐Supported Ethics Review

Philip J. Nickel
article en
2 citations

Abstract

The burden of research ethics review falls not just on researchers, but also on those who serve on research ethics committees (RECs). With the advent of automated text analysis and generative artificial intelligence (AI), it has recently become possible to teach AI models to support human judgment, for example, by highlighting relevant parts of a text and suggesting actionable precedents and explanations. It is time to consider how such tools might be used to support ethics review and oversight. This essay argues that with a suitable strategy of engagement, AI can be used in a variety of ways that genuinely support RECs to manage their workload and improve the quality of review. It would be wiser to take an active role in the development of AI tools for ethics review, rather than to adopt ad hoc tools after the fact.

Ethics & Human ResearchVol. 46(6)
Eindhoven University of Technology (NL)
Quality Education
Openalex Percentile: Top 17%
Ethics and Social Impacts of AI
1.05
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