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基于人工智能的预测病原体的出现和演变在合成生物学世界的世界

Antoine Danchin¹

¹School of Biomedical Sciences, Li KaShing Faculty of Medicine, Hong Kong University, Pokfulam, SAR Hong Kong, China.

Microbial biotechnology

|October 4, 2024

概括

新的人工智能 (AI) 和生物技术工具可以监测病原体的进化. 然而,本次审查强调了实验室事故,而不仅仅是人口增长,作为动物病原体爆发的关键原因.

科学领域:

微生物生物技术微生物生物技术
人工智能 (AI) 是一种人工智能.
病原体的进化过程
流行病学流行病学

背景情况:

微生物生物技术和人工智能的新兴技术为监测和控制病原体演变提供了新的途径.
生成型人工智能虽然擅长重组现有知识,但在预测不确定的未来方面是有限的.
需要非传统的观点来应对新技术 (如合成生物学和人工智能) 的风险.

研究的目的:

探索新型人工智能和生物技术如何应用于病原体监测和控制.
识别技术进步带来的潜在未来风险和危险情况.
重新评估人工智能的作用,包括生成人工智能,以了解和减轻新出现的威胁.

主要方法:

关于微生物生物技术和人工智能的当前文献的综述.
对AI在预测未来病原体进化的能力和局限性的分析.
对人工智能和合成生物学进行风险评估的非传统方法的探索.

主要成果:

实验室事故被认为是流行病的重要,但经常被忽视的原因,除了人口增长.
该审查侧重于动物病原体,检查潜在的疫情起源.
不寻常的生物或新生物结合被强调为未来流行病的潜在来源.

结论:

需要对人工智能,特别是生成性人工智能进行批判性重新评估,以更好地预测和管理未来的病原体爆发.
必须更加重视实验室安全和生物安全,因为它们是预防流行病的主要因素.
对稀有生物及其相互作用的进一步研究对于预测和减轻新型流行病威胁至关重要.

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