| Through this Request for Information (RFI), the National Institutes of Health (NIH) seeks to understand the needs, interests and opportunities for building and advancing Artificial Intelligence/Machine Learning (AI/ML) approaches using electronic health record (EHR) and other types of data (e.g., genomics, imaging, social determinants of health) to redress health disparities and advance health equity, with an emphasis on providing technical assistance and training on research and implementation of AI/ML to lay ground work for the preparation of new data systems for underrepresented groups. The RFI will inform the development of an NIH initiative for funding in FY21 that is bold, innovative, and substantiative in broadening the benefits of AI/ML technologies, reducing health disparities and inequities, and enhancing the diversity of the AI/ML workforce. NIH invites input from stakeholders such as those in biomedical and computer sciences, clinical and healthcare practice, data science and informatics, privacy and ethics, scientific organizations, patient advocacy groups, academia, industry, the federal government, and the general public. How to Submit a Response All comments must be submitted electronically on the submission website . Responses must be received by 11:59:59 p.m. ET on July 9, 2021. | 
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