Augmus Pty Ltd and School of Information Technology at Murdoch University

Generative AI (GenAI) has transformed research workflows across disciplines, but it also raises critical challenges related to fairness, transparency, privacy, and ethical use. This workshop introduces researchers and practitioners to the principles and practices of Responsible AI in the GenAI era. Participants will explore common challenges, such as hallucinations in LLM outputs, dataset and model biases, and privacy risks, using real examples from recent studies. The workshop emphasizes practical, research-oriented practices, such as human-in-the-loop validation, reproducible experiment design, and comprehensive documentation. Attendees will also gain hands-on exposure to tools and methods for explainability, bias analysis, monitoring, and reproducibility, demonstrating how to integrate Responsible AI practices into their research workflows. By the end of the session, participants will leave with actionable strategies to conduct GenAI research responsibly.

Supported by IEEE Systems, Man and Cybernetics (SMC) Society Transforming Educational Assets and Materials (TEAM) Program