Triage Score: A Counterfactual Risk Assessment Instrument
39:56LLM-Guided Reinforcement Learning for Mastery Learning: Large-Scale Field Evidence
35:06Non-parametric Causal Inference in Dynamic Thresholding Designs
30:21Agreement and Alignment for Human-AI Collaborative Decision Making
45:21Human Values in Clinical Algorithms, Old and New
38:46When Prediction Becomes Policy: What Do Risk Models Actually Learn?
33:31Evaluating Probabilistic Decision Making by LLMs: A Decision-Theoretic Framework and Application
32:16Algorithmic UDAP
32:13Operational Dosage: The Impact of Capacity Constraints on RCT Evaluation
35:01The Role of Standardized Tests in Admissions: Predictions vs. Decisions
33:37Individual Gaps in Prediction Generalization
30:41Beyond Prediction Performance: How Modeling Decisions Shape Fairness Outcomes in Statistical Profiling
27:56The Feedback Loop of Statistical Discrimination
32:03Decision Theoretic Foundations for Human-AI Collaboration
31:01Evaluation Design
29:16Recommendation in Equilibrium for the NYC High School Match
32:51Automating the US Welfare State: Historical Experiments in Technological Federalism
35:41On Machine Learning for Prediction and Prioritization in the Allocation of Scarce Societal Resources
35:26Beyond Prediction Performance: How Modeling Decisions Shape Fairness Outcomes in Statistical Profiling
This presentation examines how modeling decisions in statistical profiling impact fairness, analyzing regression and machine learning approaches using German labor market data.
Frauke Kreuter (LMU Munich and University of Maryland)
Bridging Prediction and Intervention Problems in Social Systems
When machine learning systems bridge from prediction to intervention — such as in statistical profiling of job seekers—seemingly minor modeling decisions can have profound consequences for who ultimately receives support. This talk examines how different choices in the data science pipeline affect not just predictive accuracy, but the actual composition of individuals flagged for intervention.
Individual Gaps in Prediction Generalization
Next · Lecture 13The Feedback Loop of Statistical Discrimination