Bias in Artificial Intelligence In Healthcare Deliverables White Paper
Unintended bias in AI and AI-driven healthcare applications is an evolving topic that developers, reviewers, and experts are still learning to address effectively and consistently. The Good Machine Learning Practices Working Team of the AFDO/RAPS Healthcare Products Collaborative believes the topic of bias could benefit from standard taxonomy, consistent approaches to identification, and addressing any identified sources of bias.
This white paper is intended for a broad audience in AI. It includes developers, implementers, researchers, quality assurance and regulatory affairs professionals, validation personnel, business managers, regulators, and end-users faced with the challenge of assessing the quality and performance of AI-based healthcare applications.