Machine learning software helps agencies make important decisions, such as who gets a bank loan or what areas police should patrol. But if these systems have biases, even small ones, they can cause real harm. A specific group of people could be underrepresented in a training dataset, for example, and as the machine learning (ML) model learns that bias can multiply and lead to unfair outcomes, such as loan denials or higher risk scores in prescription management systems.
Marylee Williams is a Communications Manager at her current organization. She focuses on themes related to science and natural sciences, with a particular emphasis on AI platforms, computer vision, and robotics. Her work has been featured in notable outlets such as the Washington Business Journal, 90.5 WESA, Carnegie Mellon University, Tech Xplore, Medical Xpress, NewsBreak, and Phys.org.
