Biography and Research Information
OverviewAI-generated summary
Laura Bodin Dunn's research examines the ethical perspectives of academic machine learning researchers regarding algorithm development in healthcare. This qualitative study, published in 2023, explores the viewpoints and considerations held by researchers involved in creating these health-related algorithms. Her work contributes to understanding the ethical landscape within the intersection of machine learning and medical applications.
Metrics
- h-index: 1
- Publications: 1
- Citations: 19
Selected Publications
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Academic machine learning researchers’ ethical perspectives on algorithm development for health care: a qualitative study (2023)
Collaboration Network
Top Collaborators
Max Kasun
Stanford University (US)
1 shared publication
- Academic machine learning researchers’ ethical perspectives on algorithm development for health care: a qualitative study
Katie Ryan
Stanford University (US)
1 shared publication
- Academic machine learning researchers’ ethical perspectives on algorithm development for health care: a qualitative study
Jodi Paik
Stanford University (US)
1 shared publication
- Academic machine learning researchers’ ethical perspectives on algorithm development for health care: a qualitative study
Kyle Lane-McKinley
Stanford University (US)
1 shared publication
- Academic machine learning researchers’ ethical perspectives on algorithm development for health care: a qualitative study
Laura Weiss Roberts
Stanford University (US)
1 shared publication
- Academic machine learning researchers’ ethical perspectives on algorithm development for health care: a qualitative study
Jane Kim
Stanford University (US)
1 shared publication
- Academic machine learning researchers’ ethical perspectives on algorithm development for health care: a qualitative study
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