Moral Engagement and Disengagement in Health Care AI Development.

ABSTRACT:

Background

Machine learning (ML) is utilized increasingly in health care, and can pose harms to patients, clinicians, health systems, and the public. In response, regulators have proposed an approach that would shift more responsibility to ML developers for mitigating potential harms. To be effective, this approach requires ML developers to recognize, accept, and act on responsibility for mitigating harms. However, little is known regarding the perspectives of developers themselves regarding their obligations to mitigate harms.

Methods

We conducted 40 semi-structured interviews with developers of ML predictive analytics applications for health care in the United States.

Results

Participants varied widely in their perspectives on personal responsibility and included ex

SUBMITTER: Nichol AA 

PROVIDER: S-EPMC11458830 | biostudies-literature | 2024 Oct-Dec

REPOSITORIES: biostudies-literature