CITP Seminar: Recommendations in the NYC High School Match (and other high-stakes settings)
Recommendation systems are now used in high-stakes settings, including to help find jobs, schools, and partners. Building public interest recommender systems in such settings bring both individual-level (enabling exploration, diversity, data quality) and societal (fairness, capacity constraints, monoculture) challenges.