Meaningful Participation in AI-Mediated Clinical Trial Recruitment.
This article examines the ethical dimensions of artificial intelligence (AI)-enabled clinical trial recruitment, focusing on how meaningful participation can be preserved within AI-mediated processes. It argues that while AI systems optimize recruitment by predicting eligible and efficient participa...
| Publicado en: | American Journal of Bioethics Vol. 26; no. 8; pp. 56 - 60 |
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| Autores principales: | , , , , , , |
| Formato: | commentary Journal Article |
| Publicado: |
Taylor & Francis Ltd
Aug2026
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| 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=195895402&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195895402 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: 195895402 195895402 195895402 10.1080/15265161.2026.2690962 195895402 ppf: 56 ppct: 4 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Meaningful Participation in AI-Mediated Clinical Trial Recruitment. aug: au: Subrahmanyam, Vishnu Bailar, Melissa Ostherr, Kirsten Kostick-Quenet, Kristin Marie McGuire, Amy L. Alexander Neitzke-Spruill, Logan Rahimzadeh, Vasiliki affil: The University of Texas Medical Branch at Galveston sug: subj: Clinical Trials Ethical Issues Research Subject Recruitment Ethical Issues Patient Selection Ethical Issues Artificial Intelligence Ethical Issues Patient Participation Research Ethics Research Subject Retention ab: This article examines the ethical dimensions of artificial intelligence (AI)-enabled clinical trial recruitment, focusing on how meaningful participation can be preserved within AI-mediated processes. It argues that while AI systems optimize recruitment by predicting eligible and efficient participants, this efficiency-driven approach risks marginalizing participants by reducing complex human experiences to enrollment and retention metrics. The authors propose that meaningful participation involves recognizing participants’ ongoing capacity to interpret and negotiate their involvement, addressing structural inequalities embedded in trial design, and ensuring participant agency over data use. They recommend ethical frameworks that incorporate support for retention-risk participants, transparency about AI use in recruitment, and mechanisms for participants to express concerns beyond standardized metrics, aiming to maintain the relational and human aspects of clinical trial participation. pubtype: Academic Journal doctype: commentary Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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