Abstract While the concept of responsible AI is becoming more and more popular, practitioners and researchers may often struggle to characterize responsible practices in their own work. Using a hands-on approach – where participants are invited to discuss terminology from their own perspectives – this tutorial aims to illustrate the application of responsible practices in Information Retrieval (IR), including fairness-aware information access, diversity, and misinformation management.