UMBC’s James Foulds receives NSF CAREER Award to improve the fairness, robustness of AI
Implementing an AI algorithm is often presented as a trade-off, Foulds explains. Do you want the program to be as productive as possible or as fair as possible? Foulds sees this as a false and harmful dichotomy. His research shows that developing an AI algorithm that prioritizes fairness can in fact yield more robust results. Continue Reading UMBC’s James Foulds receives NSF CAREER Award to improve the fairness, robustness of AI