AI in healthcare risks reinforcing inequalities for minoritized groups, especially women
By
Phil Reed D.Phil.
Summary
This article critically examines the claim that AI will transform healthcare, arguing that AI integration may actually reinforce healthcare inequalities for minoritized groups, particularly women. It contends that AI does not impartially observe reality but instead mirrors and amplifies human stereotypes and biases at scale. The piece highlights the gap between grandiose AI promises and the practical, ethical, and data-related shortcomings, with a specific focus on how these issues disproportionately affect already marginalized communities.
Source
Key quotes
· 4 pulledMany governments suggest that artificial intelligence (AI) will transform healthcare by improving diagnosis, treatment planning, and administrative efficiency.
However, these claims far outstrip the reality, and not just because of the well-rehearsed practical and ethical problems involved.
Integration of AI into healthcare may reinforce inequalities in healthcare for minoritised groups—especially women.
AI does not impartially observe reality—it mirrors human stereotypes. Operating at scale, it reinforces inequalities.
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