Algorithmic bias in artificial intelligence is a problem—And the root issue is power
Rae Walker, Jess Dillard‐Wright, Favorite Iradukunda
Abstract
BACKGROUND: Artificial intelligence (AI) in health care continues to expand at a rapid rate, impacting both nurses and communities we accompany in care. PURPOSE: We 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. METHODS: This 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." DISCUSSION: Nurses 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. CONCLUSION: Its 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.