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Organizational Governance of Emerging Technologies: AI Adoption in Healthcare by Jee Young Kim; William Boag; Freya Gulamali; Alifia Hasan; Henry David Jeffry Hogg; Mark Lifson; Deirdre Mulligan; Manesh Patel; Inioluwa Deborah Raji; Ajai Sehgal; Keo Shaw; Danny Tobey; Alexandra Valladares; David Vidal; Suresh Balu; Mark Sendak is a scholarly article available to read on EtoBox.

What is Organizational Governance of Emerging Technologies: AI Adoption in Healthcare about?

Private and public sector structures and norms refine how emerging technology is used in practice. In healthcare, despite a proliferation of AI adoption, the organizational governance (i.e. institutional governance) surrounding its use and integration is often poorly understood. What the Health AI Partnership (HAIP) aims to do in this research is to better define the requirements for adequate organizational governance of AI systems in healthcare settings and support health system leaders to make more informed decisions around AI adoption. To work towards this understanding, we first identify how the standards for the AI adoption in healthcare may be designed to be used easily and efficiently. Then, we map out the precise decision points involved in the practical institutional adoption of AI technology within specific health systems. Practically, we achieve this through a multi-organizational collaboration with leaders from major health systems across the United States and key informants from related fields. Working with the consultancy IDEO.org, we were able to conduct usability-testing sessions with healthcare and AI ethics professionals. Usability analysis revealed a prototype st

Author

Jee Young Kim; William Boag; Freya Gulamali; Alifia Hasan; Henry David Jeffry Hogg; Mark Lifson; Deirdre Mulligan; Manesh Patel; Inioluwa Deborah Raji; Ajai Sehgal; Keo Shaw; Danny Tobey; Alexandra Valladares; David Vidal; Suresh Balu; Mark Sendak

Publisher

ACM

Published

2023

Language

EN