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As artificial intelligence (AI) drives rapid change in health care, it brings an unprecedented opportunity to address inequitable health outcomes. Longstanding disparities in life expectancy, chronic disease rates, access to care, and other issues persist for many Black, Latino, Native, and Asian Americans, as well as residents of rural communities, people experiencing poverty, and other vulnerable groups.

Harnessing AI’s full potential to improve health equity requires developing unbiased, comprehensive solutions. Speakers will discuss:

• Novel approaches to mitigating bias in AI. Tools for researchers, local and state government experts, and policymakers to help them inform fair AI policies and practices that support health equity.
• Methods for working with community stakeholders and underserved populations to promote AI as a tool to advance health equity, with a focus on building trust, collaboration, and translating research.
• Innovative health care industry practices and approaches to eliminating bias in the use of data and AI tools.