Reducing bias in healthcare artificial intelligence: A white paper

<b>Objective:</b> Mitigation of racism in artificial intelligence (AI) is needed to improve health outcomes, yet no consensus exists on how this might be achieved. <b>Methods:</b> At an international conference in 2022, experts gathered to discuss strategies for reducing bias in healthcare AI. <b>Results:</b> This paper delineates these strategies along with their corresponding strengths and weaknesses and reviews the existing literature on these strategies. <b>Conclusions:</b> Five major themes resulted: reducing dataset bias, accurate modeling of existing data, transparency of artificial intelligence, regulation of artificial intelligence and the people who develop it, and bringing stakeholders to the table.