Virologist Opinions: An Important Component for the Governance of the Convergence of Artificial Intelligence and Dual-Use Research of Concern.

Matthew E Walsh, Gigi Kwik Gronvall
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Abstract

Background: The convergence of artificial intelligence (AI) and the life sciences has brought in silico research into policy conversations around dual-use research of concern and pathogens with enhanced pandemic potential research. This study considers the expert opinions of virologists on governance of AI and life sciences research.

Methods: Semi-structured interviews with virologists were conducted and qualitatively analyzed to explore expert opinions about AI and virology. Interviewees were asked about the risks and benefits of AI, policy development considerations, and about evaluating the capability of AI tools in the field of virology.

Results: Interviewed virologists generally expressed similar sentiments in responses to questions, including that benefits and risks of AI use in virology research are still to come, that policy and governance should be a process that includes virologist input, and that it is challenging to predict the capability of AI tools without experimental wet-lab validation.

Discussion: Governance should be informed by expert opinions of practitioners, and it is important to consider how such opinions are incorporated. Expert opinions are valuable in understanding the impact of governance measures on beneficial research and development, and ensuring that governance measures are practicable and applicable. Virologists interviewed generally had similar opinions around AI and virology topics and often expressed an expectation that their opinions would develop over time.

Conclusion: Given the uncertainty around the capability of AI technologies in the life sciences, it may be better to focus on developing frameworks for how governance measures will be developed, and to monitor developments, than to focus on specific interventions.

病毒学家意见:人工智能与军民两用研究融合治理的重要组成部分。
背景:人工智能(AI)和生命科学的融合使计算机研究进入了围绕双重用途研究的政策对话,并加强了对具有大流行潜力的病原体的研究。本研究考虑了病毒学家对人工智能治理和生命科学研究的专家意见。方法:对病毒学家进行半结构化访谈,并进行定性分析,探讨专家对人工智能和病毒学的看法。受访者被问及人工智能的风险和益处、政策制定方面的考虑以及评估人工智能工具在病毒学领域的能力。结果:接受采访的病毒学家在回答问题时普遍表达了类似的观点,包括在病毒学研究中使用人工智能的好处和风险仍有待实现,政策和治理应该是一个包括病毒学家输入的过程,并且在没有实验湿实验室验证的情况下预测人工智能工具的能力是具有挑战性的。讨论:治理应该由实践者的专家意见提供信息,并且考虑如何将这些意见合并是很重要的。专家意见在理解治理措施对有益的研究和开发的影响,以及确保治理措施是切实可行和适用的方面是有价值的。接受采访的病毒学家普遍对人工智能和病毒学主题持类似观点,并经常表示期望他们的观点会随着时间的推移而发展。结论:鉴于人工智能技术在生命科学领域的能力存在不确定性,与其专注于具体的干预措施,不如专注于开发如何制定治理措施的框架,并监测发展情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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