Program Schedule

Artificial Intelligence (AI) tools can enable scientific advances in medicine and improvements in healthcare systems and delivery, however, they can also exacerbate health disparities if developers and users do not recognize, understand and address the mechanisms by which biases in our healthcare system may be reflected in both design assumptions and available datasets. Societal and structural inequities have a profound impact on health via social and environmental determinants of health, differential access to healthcare services and barriers to participation in clinical research. The impact and potential mitigation of such disparities on data, algorithms and deployment must be fully understood and addressed to achieve equity and fairness for AI use in healthcare.