The Equity Paradox In Predictive Public Health

Forbes Councils Member Arpan Saxena argues that while AI can improve predictive public health, it risks exacerbating health inequities if deployed without human context. Saxena warns that algorithms trained on biased data may reinforce disparities, making human oversight essential for equitable healthcare outcomes.

The Equity Paradox In Predictive Public Health By Arpan Saxena, Forbes Councils MemberSource: Forbes Innovation https://www.forbes.com/innovation/ Here's why human context remains essential, even as AI becomes a larger part of healthcare decision-making. Get AI news in your inbox Daily digest of what matters in AI.