A plea for caution and guidance about using AI in genomics

IF 18.8 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Nature Machine Intelligence Pub Date : 2024-11-29 DOI:10.1038/s42256-024-00947-y
Mohammad Hosseini, Christopher R. Donohue
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呼吁对在基因组学中使用人工智能保持谨慎和指导
将人工智能(AI)纳入遗传学和基因组学研究可以使原本不可能的研究成为可能。然而,这些好处必须与对人类、其他有情生物和环境的潜在风险一起考虑。遗传学和基因组学的进步需要大量的试验和错误才能取得成功;当后果未知,被创造或修改的组织或有机体的道德地位不明确,或者可能与有意识的生物相比较时,这在伦理上是令人担忧的。我们认为,迫切需要扩大在基因组学研究中使用人工智能的伦理话语,并制定适当的指导方针。遗传学和基因组学研究使我们能够回答有关历史事件的问题,并不断加深我们对世界和自身的了解。例如,它已经确定了某些动物和植物何时以及如何被驯化,疾病如何传播,病毒如何变异,并且由于CRISPR,在理解和治疗罕见遗传疾病方面取得了显着进步。然而,这些进步也加剧了生物医学创新与研究伦理规范之间长期存在的紧张关系,特别是在新的人工智能发展中。
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来源期刊
CiteScore
36.90
自引率
2.10%
发文量
127
期刊介绍: Nature Machine Intelligence is a distinguished publication that presents original research and reviews on various topics in machine learning, robotics, and AI. Our focus extends beyond these fields, exploring their profound impact on other scientific disciplines, as well as societal and industrial aspects. We recognize limitless possibilities wherein machine intelligence can augment human capabilities and knowledge in domains like scientific exploration, healthcare, medical diagnostics, and the creation of safe and sustainable cities, transportation, and agriculture. Simultaneously, we acknowledge the emergence of ethical, social, and legal concerns due to the rapid pace of advancements. To foster interdisciplinary discussions on these far-reaching implications, Nature Machine Intelligence serves as a platform for dialogue facilitated through Comments, News Features, News & Views articles, and Correspondence. Our goal is to encourage a comprehensive examination of these subjects. Similar to all Nature-branded journals, Nature Machine Intelligence operates under the guidance of a team of skilled editors. We adhere to a fair and rigorous peer-review process, ensuring high standards of copy-editing and production, swift publication, and editorial independence.
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