生物人工智能的治理策略:超越双重用途困境
1Metabolism Unit, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Trends in biotechnology
|October 8, 2025
概括
在生物学中管理人工智能 (AI) 需要的不仅仅是风险管理. 政策制定者应该积极促进人工智能的好处,并投资于负责创新的公共优先事项.
科学领域:
- 生物科学 生物科学
- 人工智能治理管理 人工智能治理
背景情况:
- 目前,生物科学中的人工智能 (AI) 治理主要集中在缓解潜在的"双重用途"风险上.
- 这种反应性方法解决了人工智能的有益和有害应用.
研究的目的:
- 倡导在生物科学中为AI制定积极的政策框架.
- 鼓励决策者积极倡导人工智能的好处,同时降低风险.
主要方法:
- 政策分析 政策分析
- 对生命科学中人工智能治理框架的审查.
主要成果:
- 目前的风险减轻重点不足以最大限度地发挥AI在生物学中的潜力.
- 要将人工智能用于公共利益,需要采取积极的战略.
结论:
- 从反应性风险管理向主动性利益最大化转变对于生物科学中的AI至关重要.
- 需要有针对性的投资,以使人工智能发展与公共优先事项保持一致,并确保社会利益.
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