All Stories

  1. A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
  2. User Tampering in Reinforcement Learning Recommender Systems
  3. Typology of Risks of Generative Text-to-Image Models
  4. Reconciling Governmental Use of Online Targeting With Democracy
  5. Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy