为了在生物医学研究中减轻人工智能的潜在滥用风险的框架
Artem A Trotsyuk1,2, Quinn Waeiss1,3,2, Raina Talwar Bhatia1
1Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, CA, USA.
Nature machine intelligence
|September 25, 2025
概括
生物医学研究中的人工智能 (AI) 存在监视和不平等等风险. 这项研究提出了一个框架,以减轻AI的滥用,指导研究人员在道德适应和风险评估.
科学领域:
- 生物医学研究的研究.
- 人工智能的人工智能是人工智能.
- 人工智能伦理学
背景情况:
- 生物医学研究人工智能的进步为滥用带来了巨大的潜力.
- 风险包括专制监控,数据滥用,生物武器开发,不平等增加和隐私滥用.
研究的目的:
- 为研究人员提出一个多方面的框架,以减轻人工智能在生物医学研究中的潜在滥用.
- 为适应现有的道德框架和监管措施提供指导.
- 为整合人工智能与内置保护措施提供解决方案.
主要方法:
- 审查和调整现有的道德框架和监管措施.
- 对现成的AI解决方案进行评估,以减轻风险.
- 为人工智能系统开发设计特定解决方案.
- 该框架应用于特定的人工智能领域:药物发现,合成数据生成和环境智能.
主要成果:
- 提出了一个分层的框架,从伦理和监管调整开始.
- 该框架建议结合现成和设计特定的人工智能解决方案.
- 它建议研究人员重新考虑他们的方法或研究问题,如果风险超过好处.
结论:
- 拟议的框架为研究人员提供了一种结构化的方法,可以主动解决和减轻生物医学研究中的AI滥用问题.
- 鼓励研究人员在整个AI开发生命周期中优先考虑道德考虑和风险评估.
- 在风险无法管理的情况下,建议采用替代研究策略.
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