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Using AI to Calculate Research Payments.

This article focuses on the ethical and practical challenges of determining payment for clinical research participants and proposes the use of artificial intelligence (AI) tools to improve this process. While payment to participants is common and important for recruitment and diversity, there is no...

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Published in:American Journal of Bioethics Vol. 26; no. 8; pp. 62 - 65
Main Author: Różyńska, Joanna K
Format: commentary Journal Article
Published: Taylor & Francis Ltd Aug2026
Online Access:View this record in EBSCOhost
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      dt: Aug2026
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      pub: Taylor & Francis Ltd
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        atl: Using AI to Calculate Research Payments.
      aug:
        au: Różyńska, Joanna K
        affil: University of Warsaw
      sug:
        subj:
          Artificial Intelligence Utilization
          Research Ethics
          Patient Selection
          Clinical Trials
          Research Subjects Economics
          Artificial Intelligence Ethical Issues
          Bioethics
          Algorithms
          Financing, Organized
          Socioeconomic Factors
          Research Subject Recruitment
      ab: This article focuses on the ethical and practical challenges of determining payment for clinical research participants and proposes the use of artificial intelligence (AI) tools to improve this process. While payment to participants is common and important for recruitment and diversity, there is no global consensus on standards or ethical guidelines, with existing frameworks like the Declaration of Helsinki offering limited guidance and the Council for International Organizations of Medical Sciences (CIOMS) providing more detailed but non-binding recommendations. The article argues that AI-powered, rule-based systems could assist investigators and ethics committees in calculating fair, equitable, and non-exploitative payments by integrating local economic data, regulatory requirements, and ethical criteria, thereby addressing current inconsistencies and complexities in payment practices across diverse research settings. This proposed AI application differs from other AI uses in clinical trial recruitment by emphasizing transparency and ethical fairness rather than cost-effectiveness.
      pubtype: Academic Journal
      doctype:
        commentary
        Journal Article
      ougenre: Article
    language: English
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