Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AI

J Am Med Inform Assoc. 2022 Nov 14;29(12):2178-2181. doi: 10.1093/jamia/ocac156.

Abstract

The lack of diversity, equity, and inclusion continues to hamper the artificial intelligence (AI) field and is especially problematic for healthcare applications. In this article, we expand on the need for diversity, equity, and inclusion, specifically focusing on the composition of AI teams. We call to action leaders at all levels to make team inclusivity and diversity the centerpieces of AI development, not the afterthought. These recommendations take into consideration mitigation at several levels, including outreach programs at the local level, diversity statements at the academic level, and regulatory steps at the federal level.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Artificial Intelligence*
  • Delivery of Health Care
  • Humans
  • Physicians*