Abstract
BackgroundArtificial intelligence (AI) in health care continues to expand at a rapid rate, impacting both nurses and communities we accompany in care. PurposeWe argue algorithmic bias is but a symptom of a more systemic and longstanding problem: power imbalances related to the creation, development, and use of health care technologies. MethodsThis commentary responds to Drs. O’Connor and Booth’s 2022 article, “Algorithmic bias in health care: Opportunities for nurses to improve equality in the age of artificial intelligence.” DiscussionNurses need not ‘reinvent the wheel’ when it comes to AI policy, curricula, or ethics. We can and should follow the lead of communities already working ‘from the margins’ who provide ample guidance. ConclusionIts neither feasible nor just to expect individual nurses to counter systemic injustice in health care through individual actions, more technocentric curricula, or industry partnerships. We need disciplinary supports for collective action to renegotiate power for AI tech.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
