Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems

Researchers conducted interviews with 11 practitioners at major tech companies to study how fairness considerations are integrated into recommender system workflows. The study identified key challenges including defining fairness in RS contexts, balancing stakeholder interests, and facilitating cross-team communication between technical, legal, and fairness teams.