Mitigating Algorithmic Bias in Government Healthcare AI Procurement

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Matthew Zhou

As digital tools become more common in medical decision-making, healthcare providers may risk exposing patient data or inadvertently using a tool that leads to racially biased outcomes. By building language into contracts that mandates data transparency, privacy protection, and bias prevention, government procurement offices can set their own responsible AI standards for private sector vendors. This project recommends a procurement request for proposal (RFP) generator tool that government procurement officials can use to incorporate and customize best practices for health tech governance into their RFPs and contracts.

Click below to view various resources for navigating AI procurement, including the draft RFP generator tool, a website full of resources for healthcare procurement officials, and a policy brief further explaining the proposal.

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