The Australian Capital Territory Branch of the Statistical Society will be holding a joint meeting with the Canberra Data Scientists Group on Tuesday 22nd September. After the presentation there will be free pizzas and drinks provided to encourage people to stay afterwards to socialise with other members, members of the Canberra Data Scientists Group and guests. It would be great to see many of you in-person, however if you are unable to do this, in particularly interstate attendees, you have the option to join via Zoom.
Note that the meeting will commence earlier than the usual SSA ACT meetings and is in a different room to those we usually use. The room has limited capacity, so for room setup and catering purposes it is essential that you register via link below.
Date: Tuesday 22 September 2026
Time: 4:30 - 5:30 pm AEST
Venue: Fred Gruen Economics Seminar Room, Level 1, HW Arndt Building 25A, The Australian National University, Kingsley Pl, Acton ACT 2601
Online by Zoom: details provided upon registration
Title: Generative and Multimodal AI for Trustworthy Recommendation and Causal Decision Support
Recent advances in generative AI, large language models (LLMs), and multimodal models are reshaping the landscape of recommender systems and intelligent decision support. While these technologies offer unprecedented capabilities for modelling complex user preferences, generating personalized content, and understanding multimodal information, they also raise critical challenges related to credibility, fairness, explainability, safety, and causal reasoning.
In this talk, the presenter Shoujin Wang will present a series of recent research advances that collectively move recommender systems beyond accuracy-driven optimization toward trustworthy and human-centred AI. First, Shoujin will introduce credibility-aware generative recommendation frameworks based on diffusion models, demonstrating how generation processes can be steered toward more credible and reliable content recommendations. He will then discuss fairness-aware generative recommendation, including a modality-diffused counterfactual framework that addresses missing-modal scenarios while mitigating bias, and a retraining-free approach that promotes fairness in LLM-based recommender systems with minimal deployment cost. Then, Shoujin will present a risk-aware reasoning framework for explainable and safe medication recommendation, illustrating how generative and reasoning-based AI can support high-stakes decision making in healthcare settings. Building upon recommendation foundations, the presenter will briefly explore how large language models can uncover causal relationships hidden in multimodal data, providing a new pathway toward interpretable and causally grounded AI systems. The talk will conclude with a discussion of emerging opportunities and open challenges for building next-generation recommendation and decision-support systems that responsibly assist human decision making across diverse domains.
Presenter Bio: Shoujin Wang
Shoujin Wang has been a Lecturer in Data Science at the University of Technology Sydney since 2022. He obtained his PhD in Data Science from the University of Technology Sydney in 2019. He has been continuously named in Stanford’s List of World’s Top 2% Scientists since 2023. His main research interests include data science, machine learning, recommender systems, and trustworthy AI. He has published more than 100 research papers in these areas, most of which appeared in premier data science and AI conferences or journals, including NeurIPS, ICLR, KDD, The WebConf, SIGIR, AAAI, IJCAI, TKDE, TOIS, and CSUR. His research has been broadly reported by national media outlets, including SBS and ABC Science Show, and cited in policy and government-related documents, including European platforms for national news accessible in all EU languages. Shoujin has actively served the research community in various roles, such as Local Co-Chair of PAKDD 2025, Lead Social Chair of NeurIPS 2026, Senior Program Committee member for KDD, IJCAI, and AAAI, and Associate Editor for ACM Transactions on Recommender Systems. He is the recipient of multiple prestigious awards and honours, including the 2026 Young Investigator Award from Applied Sciences, the AAAI 2026 Outstanding Senior Program Committee Service Award, the 2024 NSW iAwards, the 2023 Royal Society of New South Wales Bicentennial Early Career Research and Service Citations Award, and the 2022 IEEE DSAA Next-Generation Data Scientist Award.
Catering and Room Setup: To assist in catering and room setup, please confirm that you are attending in person by 5pm Monday 21 September by entering your details at SSA ACT Branch / CDSG attendance sheet or contacting Warren Muller (wjmstats@outlook.com 0407 916 868). Please regard this as a firm commitment, not just an intention. For withdrawals after the deadline, please remove your name from the sheet and phone or text Warren (0407 916 868).
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