Academic Journal
Artificial Intelligence in Human Participant Research: Ethical Risks and Institutional Policy Considerations.
| Τίτλος: | Artificial Intelligence in Human Participant Research: Ethical Risks and Institutional Policy Considerations. |
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| Συγγραφείς: | Singer Pressman M; College of Doctoral Studies, Grand Canyon University, Phoenix, AZ, USA. |
| Πηγή: | Journal of empirical research on human research ethics : JERHRE [J Empir Res Hum Res Ethics] 2026 Jul; Vol. 21 (3), pp. 129-133. Date of Electronic Publication: 2026 Apr 15. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Sage Country of Publication: United States NLM ID: 101273949 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1556-2654 (Electronic) Linking ISSN: 15562646 NLM ISO Abbreviation: J Empir Res Hum Res Ethics Subsets: MEDLINE |
| Imprint Name(s): | Publication: July 2014-: Thousand Oaks, CA : Sage Original Publication: Berkeley, CA : University of California Press, c2006- |
| Ιατρικοί όροι (MeSH): | Artificial Intelligence*/ethics , Human Experimentation*/ethics , Informed Consent* , Ethics, Research* , Ethical Review* , Organizational Policy*, Humans ; Ethics Committees, Research ; Policy Making ; Policy |
| Περίληψη: | The rapid integration of artificial intelligence (AI) into research presents emerging ethical and governance challenges for institutions overseeing human research. While existing frameworks provide general protections, they offer limited guidance for addressing AI-specific risks related to informed consent, transparency, data privacy, and fairness. This commentary synthesizes key ethical concerns associated with AI-enabled research and examines some implications for institutional policy development and research ethics review. Rather than proposing a comprehensive evaluative framework, this invited commentary examines governance and procedural gaps that complicate implementation of existing AI oversight resources and emphasizes institution-level policy approaches to support consistent, responsible research ethics review. An illustrative example is provided to demonstrate how the absence of clear policy guidance can create ambiguity in research ethics review and researcher practice. The ethical considerations discussed apply broadly to research ethics review systems internationally, including Institutional Review Boards (IRBs), Research Ethics Committees (RECs), and Ethics Review Committees (ERCs). |
| Competing Interests: | Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. |
| Contributed Indexing: | Keywords: Informed consent; artificial intelligence; research ethics review |
| Entry Date(s): | Date Created: 20260415 Date Completed: 20260612 Latest Revision: 20260612 |
| Update Code: | 20260613 |
| DOI: | 10.1177/15562646261437187 |
| PMID: | 41984041 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1556-2654 |
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| DOI: | 10.1177/15562646261437187 |