Responsible Prompting Recommendation: Fostering Responsible AI Practices in Prompting-Time

Human-Computer Interaction practitioners have been proposing best practices in user interface design for decades. However, generative Artifcial Intelligence (GenAI) brings additional design considerations and currently lacks sufcient user guidance regarding afordances, inputs, and outputs. In this context, we developed a recommender system to promote responsible AI (RAI) practices while people prompt GenAI systems. We detail 10 interviews with IT professionals, the resulting recommender system developed, and 20 user sessions with IT professionals interacting with our prompt recommendations. Results indicate that responsible prompting recommendations have the potential to support novice prompt engineers and raise awareness about RAI in prompting-time. They also suggest that recommendations should simultaneously maximize both a prompt's similarity to a user's input as well as a diversity of associated social values provided. These fndings contribute to RAI by ofering practical ways to provide user guidance and enrich human-GenAI interaction via prompt recommendations.

• Human-centered computing → Interaction paradigms; Empirical studies in HCI.