Recruitment Inference Creep: Why AI in Clinical Trials Needs Auditable Ethical Limits.
The article focuses on the ethical considerations of artificial intelligence (AI)-enabled recruitment in clinical research, emphasizing the distinction between AI systems that identify eligible participants and those that optimize the likelihood of participant enrollment. While AI can improve recrui...
| Publicado en: | American Journal of Bioethics Vol. 26; no. 8; pp. 70 - 72 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | 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=195895373&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195895373 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: 195895373 10.1080/15265161.2026.2690924 195895373 ppf: 70 ppct: 2 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Recruitment Inference Creep: Why AI in Clinical Trials Needs Auditable Ethical Limits. aug: au: Ruiz-Vanoye, Jorge A. Díaz-Parra, Ocotlán Aguilar-Ortiz, Jaime Ruiz-Jaimes, Miguel A. Toledo-Navarro, Yadira Fuentes-Penna, Alejandro Barrera-Cámara, Ricardo A. Trejo-Macotela, Francisco Rafael affil: Universidad Politécnica de Pachuca sug: subj: Artificial Intelligence Utilization Research Subject Recruitment Ethical Issues Clinical Trials Discrimination Privacy and Confidentiality Consent Socioeconomic Factors Health Literacy Emotions ab: The article focuses on the ethical considerations of artificial intelligence (AI)-enabled recruitment in clinical research, emphasizing the distinction between AI systems that identify eligible participants and those that optimize the likelihood of participant enrollment. While AI can improve recruitment efficiency and accuracy, ethical concerns arise when AI shifts from eligibility detection to behavioral persuasion, potentially exploiting vulnerabilities before informed consent is obtained. The authors highlight the concept of "recruitment inference creep," where AI infers sensitive psychological or social traits to influence participation decisions, raising risks to deliberative autonomy. They advocate for institutional review boards (IRBs) to govern not only data access but also the scope of AI inferences and persuasive strategies, ensuring recruitment respects voluntary participation without manipulating prospective participants. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|