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). Using case studies based on existing IR research, the tutorial will explore responsible AI concepts such as positionality, participatory research, fairness, diversity, and ethics.