Our PhD researcher Lufan Zhang from Swinburne University of Technology is in Japan for the CHI conference on Human Factors in Computing Systems, the premier international conference of Human-Computer Interaction to present her work on Explainable AI. Congratulations Lufan!

“It’s such a pleasure to present our lbw work at CHI2025 in Yokohama, Japan. I came across another lbw work on the stats of XAI study that actually include human evidence of explainability, and it turned out that fewer than 1% of those XAI study include human study, among which less than a half involve the actual users into the design/development process of XAI approach… it poses a great opportunity for developing industry-based, context-aware XAI that involves the actual XAI stakeholder group into the co-design process of XAI to make the final solution useful and practical to address practioners’ prioritised needs.

Our work on “Placing Practice and Expertise at the Center of Explainable AI: A Participatory Design Approach to Explainable AI for Enterprise Information Architect” fills in the gap, where we believe industry practitioners have the agency in developing XAI approaches, and “explainability” in this study is seen as “a human-centred capability that practitioners develop to understand, interpret, and make AI useful in their work practices”. https://lnkd.in/gj4edj9m

Big shoutouts to our amazing industry partner Astral  Marie Felsbourg (Minson) GAICD & Damian Felsbourg GAICD and their clients & our research center ARC Training Centre for Information Resilience (CIRES), Swinburne University of Technology and Paul Scifleet for the ongoing support to produce the work we present here!”