Transparency, Evaluation and Going From “Ethics-Washing” to Enforceable Regulation: On Machine Learning-Driven Clinician Decision Aids-Reference-Cited by-同舟云学术

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Transparency, Evaluation and Going From “Ethics-Washing” to Enforceable Regulation: On Machine Learning-Driven Clinician Decision Aids

Published:2024-09 Issue:9 Volume:24 Page:117-120
ISSN:1526-5161
Container-title:The American Journal of Bioethics
language:en
Short-container-title:The American Journal of Bioethics

Author:

Stevens Yuan Y.¹^ORCID,Zawati Ma’n H.¹^ORCID

Affiliation:

1. McGill University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15265161.2024.2377123

Reference9 articles.

1. Revolutionizing healthcare: the role of artificial intelligence in clinical practice

2. Transparency of Artificial Intelligence in Healthcare: Insights from Professionals in Computing and Healthcare Worldwide

3. Assessing Methods and Tools to Improve Reporting, Increase Transparency, and Reduce Failures in Machine Learning Applications in Health Care

4. Transparency of AI in Healthcare as a Multilayered System of Accountabilities: Between Legal Requirements and Technical Limitations

5. Closing the AI accountability gap

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