Aspen Policy Academy

Mitigating Algorithmic Bias In Government Healthcare AI Procurement

By 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 policy brief 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. 

This brief was completed as part of a project for the 2021 Aspen Tech Policy Hub Fellowship, a program to teach technology experts how to impact policy.

View the Brief