CHAI PhD student Rachel Freedman will present two papers at a workshop at IJCAI 2020. The first paper, “Choice Set Misspecification in Reward Inference,” is coauthored with CHAI Professor Anca Dragan and PhD student Rohin Shah. The paper analyzes what happens when a robot inferring reward functions from human feedback makes incorrect assumptions about the human’s choice set. The second paper, “Aligning with Heterogeneous Preferences for Kidney Exchange,” addresses the problem of preference aggregation by AI algorithms in a real-world public health context: kidney exchange. The paper suggests a roadmap for future automated moral decision making on behalf of heterogeneous groups.