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Artificial intelligence (AI) is reshaping healthcare, but without safeguards it can entrench disparities and erode trust. We advance an Equity-by-Design governance approach that embeds fairness audits, ethical oversight, and transparency across the AI lifecycle. Drawing on literature and regulation (e.g., EU AI Act, FDA GMLP) and two case studies, we show how continuous auditing, lifecycle checkpoints, institutional review, and post-deployment monitoring surface and mitigate demographic bias. We outline a practical architecture (metrics, dashboards, documentation) aligned with clinical workflows and regulatory duties, and conclude with policy and research actions to operationalize equity, accountability, and trustworthy deployment in diverse healthcare settings.

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Equity by Design: Integrating Bias Audits and Fairness Mandates Into Healthcare AI Governance

  • 会议论文

  • 发表日期：

    2026年

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  • Dulani Athukorala,
  • Khandakar Ahmed,
  • Raza Nowrozy

摘要

Artificial intelligence (AI) is reshaping healthcare, but without safeguards it can entrench disparities and erode trust. We advance an Equity-by-Design governance approach that embeds fairness audits, ethical oversight, and transparency across the AI lifecycle. Drawing on literature and regulation (e.g., EU AI Act, FDA GMLP) and two case studies, we show how continuous auditing, lifecycle checkpoints, institutional review, and post-deployment monitoring surface and mitigate demographic bias. We outline a practical architecture (metrics, dashboards, documentation) aligned with clinical workflows and regulatory duties, and conclude with policy and research actions to operationalize equity, accountability, and trustworthy deployment in diverse healthcare settings.