
Key TakeawaysAI can either help reduce healthcare inequities or magnify existing bias, depending on how it is designed, trained, governed, and used.Responsible AI requires transparency, representative data, community participation, and clear accountability when tools fail or cause harm.Health equity work cannot be treated as philanthropy; it requires shared ownership across health systems, government, industry, nonprofits, and communities.Health systems must address existing bias in clinical language, protocols, and care delivery before expecting AI to fix systemic problems.Trust is built through transparency, shared power, community partnership, and honest conversations about the harms patients still experience today.ResourcesConnect with Tanisha Sullivan on LinkedIn.Follow Sanofi on LinkedIn and explore their website. Connect with Dr. Chris Pernell on LinkedIn.Follow the NAACP on LinkedIn and explore the website.Connect with Kimberly Wells on LinkedIn.Follow Ascension on LinkedIn and explore their website.
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