Adaptive IRB Oversight for AI-Enabled Recruitment: A Case Study from Researcher-Developer and Human Research Protection Program Perspectives.
This article focuses on the ethical considerations and institutional review board (IRB) oversight involved in using RECTIFIER, an AI-enabled clinical trial recruitment tool based on a large language model (LLM). RECTIFIER demonstrated high accuracy and efficiency in assessing trial eligibility compa...
| Publicado en: | American Journal of Bioethics Vol. 26; no. 8; pp. 52 - 56 |
|---|---|
| Autores principales: | , , |
| 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=195895395&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195895395 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: 195895395 195895395 195895395 10.1080/15265161.2026.2690953 195895395 ppf: 52 ppct: 4 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Adaptive IRB Oversight for AI-Enabled Recruitment: A Case Study from Researcher-Developer and Human Research Protection Program Perspectives. aug: au: Silverman, Benjamin C. Ferraro, Tonya Blood, Alexander J. affil: Mass General Brigham sug: subj: Artificial Intelligence Ethical Issues Research Ethics Institutional Review Patient Selection Consent Privacy and Confidentiality Research Subject Recruitment ab: This article focuses on the ethical considerations and institutional review board (IRB) oversight involved in using RECTIFIER, an AI-enabled clinical trial recruitment tool based on a large language model (LLM). RECTIFIER demonstrated high accuracy and efficiency in assessing trial eligibility compared to human staff and was developed and validated under IRB supervision before commercialization by AIwithCare. Key ethical elements addressed include reliability and validity, safety and accountability through a "human in the loop" approach, and privacy and security compliant with HIPAA standards. The authors emphasize the need for IRBs and human research protection programs (HRPPs) to adopt adaptive, evidence-seeking review processes that evolve alongside AI technologies, while cautioning against holding AI tools to standards that exceed those applied to human recruiters, a phenomenon termed "AI exceptionalism." pubtype: Academic Journal doctype: commentary Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|