Beyond Persuasion: AI Risk of Manipulation in Research Recruitment.
This article examines the ethical concerns surrounding the use of artificial intelligence (AI) in recruiting participants for clinical research, focusing on the potential for AI-driven manipulation. It highlights how AI can exploit individual cognitive biases and emotional vulnerabilities more effec...
| Publicado en: | American Journal of Bioethics Vol. 26; no. 8; pp. 43 - 46 |
|---|---|
| Autor principal: | |
| Formato: | commentary Journal Article |
| Publicado: |
Taylor & Francis Ltd
Aug2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195895406&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195895406 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15265161 FKZ jtl: American Journal of Bioethics issn: 15265161 maglogo: N pubinfo: dt: Aug2026 vid: 26 iid: 8 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 195895406 195895406 195895406 10.1080/15265161.2026.2692309 195895406 ppf: 43 ppct: 3 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Beyond Persuasion: AI Risk of Manipulation in Research Recruitment. aug: au: Allen, William L. affil: University of Florida College of Medicine sug: subj: Artificial Intelligence Ethical Issues Clinical Trials Research Subject Recruitment Research Ethics Decision Making Emotions Scientific Misconduct Privacy and Confidentiality Machine Learning Government Regulations ab: This article examines the ethical concerns surrounding the use of artificial intelligence (AI) in recruiting participants for clinical research, focusing on the potential for AI-driven manipulation. It highlights how AI can exploit individual cognitive biases and emotional vulnerabilities more effectively and subtly than traditional methods, raising risks beyond accepted ethical standards. The article discusses "dark patterns"—design strategies that manipulate user behavior—and notes that current regulatory frameworks, including those by the FDA and Office of Human Research Protections, do not adequately address AI manipulation in research recruitment. It suggests limiting data collection and developing AI auditing tools as possible safeguards, while emphasizing the need for institutional review boards and research administrators to develop expertise in AI to mitigate manipulation risks amid shrinking regulatory oversight. pubtype: Academic Journal doctype: commentary Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|