| Autor: |
Federico CA; Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California, USA; email: carolef2@stanford.edu, atrotsyuk@stanford.edu., Trotsyuk AA; Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California, USA; email: carolef2@stanford.edu, atrotsyuk@stanford.edu. |
| Jazyk: |
angličtina |
| Zdroj: |
Annual review of biomedical data science [Annu Rev Biomed Data Sci] 2024 Aug; Vol. 7 (1), pp. 1-14. Date of Electronic Publication: 2024 Jul 24. |
| DOI: |
10.1146/annurev-biodatasci-102623-104553 |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
|
