Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare.
Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare.
复制标题
采用和扩展从军事到医疗保健领域的生成人工智能的道德原则。
DOI：
10.1038/s41746-023-00965-x
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发表时间：
2023-12-02
影响因子：
15.2
通讯作者：
中科院分区：
文献类型：
--
作者：
2020年，美国国防部正式披露了一套道德原则，以指导人工智能（AI）技术在未来的战场上，但在战场上，战场上的核心相似之处通常会面临临近生活的情况。例如，在造成生命的AI中，旨在有效的信息会产生巨大的前景，而在外科手术中，旨在产生有价值的信息。医学研究社区的大量关注，引起有关其在医疗保健行业的辩论，这主要是由于对透明度和相关问题的关注，而对健康偏见的潜在质疑是对这种技术在医疗保健方面的使用，因此对这种技术的使用并不清楚。解决道德问题，决策者经常忽略在临床实践中实施通用AI之前的道德原则的重要性，以解决这些问题，我们从军事的角度探索道德原则，并提出“大认罪”的道德原则， AI在医疗保健中。
In 2020, the U.S. Department of Defense officially disclosed a set of ethical principles to guide the use of Artificial Intelligence (AI) technologies on future battlefields. Despite stark differences, there are core similarities between the military and medical service. Warriors on battlefields often face life-altering circumstances that require quick decision-making. Medical providers experience similar challenges in a rapidly changing healthcare environment, such as in the emergency department or during surgery treating a life-threatening condition. Generative AI, an emerging technology designed to efficiently generate valuable information, holds great promise. As computing power becomes more accessible and the abundance of health data, such as electronic health records, electrocardiograms, and medical images, increases, it is inevitable that healthcare will be revolutionized by this technology. Recently, generative AI has garnered a lot of attention in the medical research community, leading to debates about its application in the healthcare sector, mainly due to concerns about transparency and related issues. Meanwhile, questions around the potential exacerbation of health disparities due to modeling biases have raised notable ethical concerns regarding the use of this technology in healthcare. However, the ethical principles for generative AI in healthcare have been understudied. As a result, there are no clear solutions to address ethical concerns, and decision-makers often neglect to consider the significance of ethical principles before implementing generative AI in clinical practice. In an attempt to address these issues, we explore ethical principles from the military perspective and propose the “GREAT PLEA” ethical principles, namely Governability, Reliability, Equity, Accountability, Traceability, Privacy, Lawfulness, Empathy, and Autonomy for generative AI in healthcare. Furthermore, we introduce a framework for adopting and expanding these ethical principles in a practical way that has been useful in the military and can be applied to healthcare for generative AI, based on contrasting their ethical concerns and risks. Ultimately, we aim to proactively address the ethical dilemmas and challenges posed by the integration of generative AI into healthcare practice.
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影响因子：
4.1
作者：
Aquino, Yves Saint James;Carter, Stacy M.;Rogers, Wendy A.
通讯作者：
Rogers, Wendy A.
DOI：
10.1016/b978-0-12-818438-7.00002-2
发表时间：
2020-06-26
期刊：
Artificial Intelligence in Healthcare
影响因子：
--
作者：
Bohr A;Memarzadeh K
通讯作者：
Memarzadeh K
影响因子：
19.7
作者：
Bahl, Manisha;Barzilay, Regina;Lehman, Constance D.
通讯作者：
Lehman, Constance D.
影响因子：
7.4
作者：
Asan, Onur;Bayrak, Alparslan Emrah;Choudhury, Avishek
通讯作者：
Choudhury, Avishek
为了分类和诊断目的，人工智能和人类医生的比较。
影响因子：
4
作者：
Baker A;Perov Y;Middleton K;Baxter J;Mullarkey D;Sangar D;Butt M;DoRosario A;Johri S
通讯作者：
Johri S