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世卫组织发布报告，呼吁全面升级医疗 AI 研究伦理监管
WHO 于 2026 年 9 月 21 日发布《AI 相关健康研究的伦理审查与监管》报告，指出 AI 正加速健康研究，但若缺乏伦理保障与监管，可能带来算法透明度、偏见、公平性、问责、隐私等新风险。报告将 AI 健康研究分为三类：使用 AI 处理健康数据的研究、借助 AI 工具开展的研究、以及针对 AI 工具本身的研究，并主张对研究设计、伦理审查、发表、监管到实施的全生命周期加强监督。报告还强调中低收入国家参与不足，需加强本地领导力与能力建设，伦理审查委员会需补充专业知识与资源，资助方、期刊、数据治理机构、专业协会和监管机构需跨部门协作。
AI推荐理由 WHO 于 2026 年 9 月 21 日发布《AI 相关健康研究的伦理审查与监管》报告，提出将 AI 健康研究分为三类，并强调伦理审查需覆盖设计、审查、发表、监管到实施的全生命周期，同时指出中低收入国家在 AI 医疗研究中的参与不足。该内容为官方报告转述，事实明确、信息密度较高，对 AI 医疗治理与产业合规有参考价值；但来源为 AIbase 的二次转述，非 WHO 原文，且未提供报告链接或具体条款，深度有限。
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WHO Releases a Landmark Report, Calls for Comprehensive Upgrading of Ethical Oversight in Medical AI Research
AIbase基地
Published inAI News · 4 min read · Sep 23, 2026
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The World Health Organization (WHO) officially released a new report titled "Ethical Review and Regulation of AI-Related Health Research" on September 21, 2026. The report states that while artificial intelligence is reshaping health research at an unprecedented speed, accelerating scientific discovery, and improving health outcomes, AI health research could also introduce new risks without strong ethical safeguards and regulatory oversight, thereby endangering human rights, social equity, and public trust.
Regarding existing ethical review mechanisms, the WHO warns that traditional systems often struggle to address the new risks brought by artificial intelligence, including algorithmic transparency, bias, fairness, accountability, privacy protection, and potential harms from rapidly deploying AI tools. To this end, the report clearly categorizes AI-related health research into three main types: research involving health-related data using AI; research conducted using AI tools and technologies; and health-related research specifically focused on AI tools and technologies themselves. Additionally, the report explores how to strengthen ethical oversight throughout the entire lifecycle of research, from design, ethical review, publication, regulation, to implementation.
With regard to the challenges and opportunities faced by low- and middle-income countries, the report emphasizes that although artificial intelligence holds great potential in addressing long-standing medical challenges, the majority of current AI research and technological development remains concentrated in high-income regions. Therefore, strengthening local leadership, capacity building, and broad participation in AI health research will be key to ensuring fair sharing of benefits and avoiding new forms of exclusion or inequality.
The WHO emphasizes that Research Ethics Committees (RECs) will continue to play a central role in protecting research participants, but they need additional expertise, training, and resources to effectively address increasingly complex AI-related research. Moreover, multiple stakeholders, including funders, scientific journals, data governance bodies, professional associations, and regulatory agencies, must work closely across disciplines and sectors to ensure that AI medical innovations remain safe, trustworthy, and beneficial to all humanity.
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