评估人工智能平台作为机构审查委员会成员的决策能力。

IF 1.7 4区 哲学 Q2 ETHICS Journal of Empirical Research on Human Research Ethics Pub Date : 2024-07-01 Epub Date: 2024-06-17 DOI:10.1177/15562646241263200
Kannan Sridharan, Gowri Sivaramakrishnan
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引用次数: 0

摘要

背景:机构审查委员会(IRB)在审查研究提案时面临延误,这突出表明需要优化标准操作程序(SOP)。本研究评估了三种人工智能(AI)平台应对 IRB 挑战和起草基本 SOP 的能力。研究方法在 10 个反映 IRB 功能的案例研究中使用三种人工智能平台进行了观察研究,重点是创建 SOP。根据良好临床实践 (GCP) 指南对人工智能输出的准确性进行了评估。结果显示人工智能工具识别了 GCP 问题,为违反 GCP 的行为提供了指导,发现了利益冲突和 SOP 缺陷,识别了弱势人群,并提出了快速审查标准。它们起草的 SOP 也存在一些差异。结论人工智能平台可以帮助 IRB 决策并提高审查效率。然而,要确保人工智能生成的解决方案的准确性,人工监督仍然至关重要。
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Assessing the Decision-Making Capabilities of Artificial Intelligence Platforms as Institutional Review Board Members.

Background: Institutional review boards (IRBs) face delays in reviewing research proposals, underscoring the need for optimized standard operating procedures (SOPs). This study assesses the abilities of three artificial intelligence (AI) platforms to address IRB challenges and draft essential SOPs. Methods: An observational study was conducted using three AI platforms in 10 case studies reflecting IRB functions, focusing on creating SOPs. The accuracy of the AI outputs was assessed against good clinical practice (GCP) guidelines. Results: The AI tools identified GCP issues, offered guidance on GCP violations, detected conflicts of interest and SOP deficiencies, recognized vulnerable populations, and suggested expedited review criteria. They also drafted SOPs with some differences. Conclusion: AI platforms could aid IRB decision-making and improve review efficiency. However, human oversight remains critical for ensuring the accuracy of AI-generated solutions.

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来源期刊
CiteScore
3.50
自引率
7.70%
发文量
30
审稿时长
>12 weeks
期刊介绍: The Journal of Empirical Research on Human Research Ethics (JERHRE) is the only journal in the field of human research ethics dedicated exclusively to empirical research. Empirical knowledge translates ethical principles into procedures appropriate to specific cultures, contexts, and research topics. The journal''s distinguished editorial and advisory board brings a range of expertise and international perspective to provide high-quality double-blind peer-reviewed original articles.
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