Seminar • Artificial Intelligence • Fair and Optimal Prediction via Post-Processing
Please note: This seminar will take place in DC 1304 and online.
Han Zhao, Assistant Professor
Computer Science, University of Illinois Urbana-Champaign
Amazon Visiting Academic, Amazon AI and Search Science
To mitigate the bias exhibited by machine learning models, fairness criteria can be integrated into the training process to ensure fair treatment across all demographics, but it often comes at the expense of model performance. Understanding such tradeoffs, therefore, underlies the design of optimal and fair algorithms.