IDRIS Launches This Fall, Using Data-driven Solutions to Tackle Complex Social Problems
October 23, 2024IDRIS Launches This Fall, Using Data-driven Solutions to Tackle Complex Social Problems
October 23, 2024
Original Source: https://www.newark.rutgers.edu/
By Carrie Stetler
The AI algorithms increasingly used to treat and diagnose patients can have biases and blind spots that could impede healthcare for Black and Latinx patients, according to research co-authored by a Rutgers-Newark data scientist.
Fay Cobb Payton, a Mathematics and Computer Science professor, has researched how AI technology and algorithms often rely on data that can lead to generalizations about patients of color, failing to incorporate their cultural background and day-to-day living circumstances.
Payton, who is Special Advisor to the Chancellor on Inclusive Innovation at Rutgers-Newark, recently co-authored findings on AI and healthcare inequities for The Milbank Quarterly, which explores population health and health policy. Additional authors were Thelma C. Hurd of the Institute on Health Disparities, Equity, and the Exposome at Meharry Medical College, and Darryl B. Hood of the College of Public Health at Ohio State University.