开发机器学习驱动决策辅助工具的整体、多层次和综合伦理方法。

IF 17 1区哲学 Q1 ETHICS

American Journal of Bioethics Pub Date : 2024-09-01 Epub Date: 2024-09-03 DOI:10.1080/15265161.2024.2377104

Anita Ho, Jad Brake, Amitabha Palmer, Charles E Binkley

引用次数: 0

摘要

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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A Holistic, Multi-Level, and Integrative Ethical Approach to Developing Machine Learning-Driven Decision Aids.

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来源期刊

American Journal of Bioethics 社会科学-科学史与科学哲学

CiteScore

12.30

自引率

26.90%

发文量

250

审稿时长

6-12 weeks

期刊介绍： The American Journal of Bioethics (AJOB) is a renowned global publication focused on bioethics. It tackles pressing ethical challenges in the realm of health sciences. With a commitment to the original vision of bioethics, AJOB explores the social consequences of advancements in biomedicine. It sparks meaningful discussions that have proved invaluable to a wide range of professionals, including judges, senators, journalists, scholars, and educators. AJOB covers various areas of interest, such as the ethical implications of clinical research, ensuring access to healthcare services, and the responsible handling of medical records and data. The journal welcomes contributions in the form of target articles presenting original research, open peer commentaries facilitating a dialogue, book reviews, and responses to open peer commentaries. By presenting insightful and authoritative content, AJOB continues to shape the field of bioethics and engage diverse stakeholders in crucial conversations about the intersection of medicine, ethics, and society.