意外后果
工程伦理学
经济正义
面子(社会学概念)
生物医学
数据共享
政治学
医疗保健
研究伦理
公共关系
社会学
工程类
医学
法学
社会科学
替代医学
病理
生物
遗传学
作者
Carole A Federico,Artem A. Trotsyuk
出处
期刊:Annual review of biomedical data science
[Annual Reviews]
日期:2024-04-10
标识
DOI:10.1146/annurev-biodatasci-102623-104553
摘要
Advances in biomedical data science and artificial intelligence (AI) are profoundly changing the landscape of healthcare. This article reviews the ethical issues that arise with the development of AI technologies, including threats to privacy, data security, consent, and justice, as they relate to donors of tissue and data. It also considers broader societal obligations, including the importance of assessing the unintended consequences of AI research in biomedicine. In addition, this article highlights the challenge of rapid AI development against the backdrop of disparate regulatory frameworks, calling for a global approach to address concerns around data misuse, unintended surveillance, and the equitable distribution of AI's benefits and burdens. Finally, a number of potential solutions to these ethical quandaries are offered. Namely, the merits of advocating for a collaborative, informed, and flexible regulatory approach that balances innovation with individual rights and public welfare, fostering a trustworthy AI-driven healthcare ecosystem, are discussed.
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