Artificial intelligence (AI) has a significant impact on health system decision-making and represents an opportunity area for health equity executives to bridge health equity and AI innovation. Maia Hightower (CEO of Equality AI & former Chief Digital Transformation Officer at UChicago Medicine) shares her perspective from decades of health system experience across roles spanning IT, population health, and D&I. The webinar also reviews the potential impact of bias in AI on health outcomes and offers a preview of AI implementations designed to promote health equity.
Key Takeaways
Window of Opportunity to Integrate an Equity Lens: With 80% of health equity leaders currently having little involvement in AI strategy, the current AI boom is a critical window for promoting diverse AI governance and unbiased modeling to address health disparities.
Addressing Health Disparities Through Intentional Design: AI models built to reduce health disparities have been successful, while others have exacerbated disparities. Ensuring programs and models are designed to promote health equity is ethically vital.
"Techquity" Requires Evaluation Throughout the AI Lifecycle: Health systems should ask: Are training data representative? How does the model perform across demographics? What ongoing monitoring ensures continued fairness?