Program

Be inspired by an opening address by Dr. Cathy Foley, CSIRO Board Member and former CSIRO Chief Scientist and Australia Chief Scientist.

Hear from thought leaders in the Responsible AI space, including:

• Professor Simon Lucey, Director, The Australian Institute for Machine Learning, and RAIR Centre Lead Team, and Co-Theme Leader.
• Professor Jon Whittle, Director, CSIRO’s Data61, and RAIR Centre Lead Team.
• Dr. Andrew Dunbar, Executive Director, Research and Innovation, for the Department of State Development South Australia, and RAIR Centre Lead Team.
• Professor Angie Abdilla, Cybernetic Imagination Resident, the Australian National University, and Founder and Director, Old Ways, New.

• Responsible AI Governance: A Systematic Literature Review – Dr. Amna Batool (CSIRO’s Data61), Dr. Muneera Bano (CSIRO’s Data61), Prof. Didar Zowghi (CSIRO’s Data61)
• Grounding Global Standards in Australian AI Governance: A Technical Framework for Public Sector GenAI – Mr. Ash Tiwari (AI Consultant, Director, Evolo Pty Ltd), Marco Fahmi (Director, Artificial Intelligence, Queensland Government Customer and Digital Group)
• A Responsible AI Framework for AI-Augmented Creative Content Creation – Dr. Tao Zhang (SEEK), Fernando Mourao (SEEK)
• Caution: AI at Work – Responsible Use of Generative AI in Research and Decision-Making – Dr. Bernadette Hyland-Wood (Queensland University of Technology), Owen Forbes (CISRO); Catherine Kim (Queensland University of Technology); Aiden Price (University of Melbourne and Queensland University of Technology); Jessie Roberts (Queensland University of Technology); Kate Conroy (Queensland University of Technology); Kerrie Mengersen (Queensland University of Technology)
• Making AI Work Visible with the GenAI Arcade – Dr. Aaron J. Snoswell (Queensland University of Technology), William He (QUT Digital Media Research Centre GenAI Lab; ARC CoE for Automated Decision Making and Society); Jean Burgess (QUT Digital Media Research Centre GenAI Lab; ARC CoE for Automated Decision Making and Society); Kevin Witzenberger (QUT Digital Media Research Centre GenAI Lab; ARC CoE for Automated Decision Making and Society)
• Diversity and Inclusion in AI: Insights from a Survey of AI/ML Practitioners – Dr. Sidra Malik (Data61, CSIRO), Muneera Bano (Data61, CSIRO); Didar Zowghi (Data61, CSIRO)

• Expanding the Foundations of Responsible AI: Evaluation, Security, and Human-Centred Reflection – Dr. Kristen Moore (CSIRO’s Data61), Professor Shonali Krishnaswamy (Director, Monash AI Institute); Rita Arrigo (Strategic Engagement, National AI Centre)
• Establishing a Responsible AI Framework for Endometriosis Diagnosis – Dr. Yuan Zhang (Robinson Research Institute, Adelaide University, Australia), Jodie Avery (Robinson Research Institute, Adelaide University, Australia); Alison Deslandes (Robinson Research Institute, Adelaide University, Australia); Tim Chen (School of Computer and Mathematical Sciences, Adelaide University, Australia); Mathew Leonardi (Department of Obstetrics and Gynecology, McMaster University Medical Centre, Canada); George Condous (Omni Ultrasound and Gynaecological Care, Australia); Gustavo Carneiro (Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, United Kingdom); M Louise Hull (Robinson Research Institute, Adelaide University, Australia)
• One AI to (Not) Rule them All: Re-analysing an AI reader study in radiology using techniques from cognitive science – Ms. Lana Tikhomirov (Australian Institute for Machine Learning), Luke Smith (Australian Institute for Machine Learning); Lauren Oakden-Rayner (School of Public Health University of Adelaide); Alix Bird (annalise.ai); Lyle Palmer (Australian Institute for Machine Learning); Carolyn Semmler (School of Psychology University of Adelaide)
• LLMs for Young Minds: Keeping AI Safe from Jailbreaks & Misalignment – Dr. Bushra Sabir (CSIRO), Sharif Abuadbba (CSIRO)
• Safe AI in Text-to-Image Models – Mr. Qingchen Tang (UNSW), Flora Salim (UNSW); Sanjay Jha (UNSW); Yang Song (UNSW)
• Physics-Informed Machine Learning with Image Integration for Environmental Modelling – Dr. Buse Turunctur (Imaging and Computer Vision Group, Data61, CSIRO), Russell Tsuchida (Data Science and AI Group, Monash University); Paul Branson (Ocean Dynamics and Ecosystems Group, Environment, CSIRO); Dan MacKinlay (Data61, CSIRO); David Ahmedt Aristizabal (Imaging and Computer Vision Group, Data61, CSIRO); Lars Petersson (Imaging and Computer Vision Group, Data61, CSIRO); Dino Sejdinovic (School of Computer and Mathematical Sciences, The University of Adelaide)

• Pride in Precision, Prejudice in Prediction: Bias and Stereotyping in Recommendation Systems – Miss Tahsin Alamgir Kheya (Deakin University), Mohamed Reda Bouadjenek (Deakin University); Sunil Aryal (Deakin University)
• Practical insights into AI bias mitigation within engineering biology – Dr. Rebekah Harms (UNSW), Prof Rachel Ankeny (Wageningen University & Research); Dr Lucy Carter (CSIRO); Dr Aditi Mankad (CSIRO); Prof Jackie Leach Scully (UNSW)
• Uncovering Representation-Level Bias in Medical Imaging AI: Evidence from Latent Representations – Dr. Nikhil Cherian Kurian (Australian Institute for Machine Learning, Adelaide), Lyle J Palmer (Australian Institute for Machine Learning, Adelaide); Lauren Oakden-Rayner (Australian Institute for Machine Learning, Adelaide)
• Layer-wise Exploration of Demographic Leakage in Vision-Language Models for Chest X-Rays – Mr. George Vadakepurathan Jose (The University of Adelaide), Nikhil Cherian Kurian (Australian Institute for Machine Learning)
• Understanding biases in off-the-shelf emotion recognition models – Miss Alana Hayes Chen (Monash University, Department of Mechanical and Aerospace Engineering), Jacinta Yao (Monash University, Department of Electrical and Computer Systems Engineering); Kavindie Katuwandeniya (CSIRO Robotics); Dana Kulić (Monash University)
• A Case Study in Human Label Variation: Developing Fair Models Utilising a Diversity of Opinions – Dr. Kemal Kurniawan (University of Melbourne), Meladel Mistica (University of Melbourne); Timothy Baldwin (MBZUAI and University of Melbourne); Jey Han Lau (University of Melbourne)

Participate in an interactive workshop designed to build practical skills for promoting diversity, equity, and inclusion across AI research, policy, and industry. You will leave this workshop with actionable tools to assess and improve your own projects.

Exclusive for symposium registrants, join for an evening industry keynote, science poster presentations, and networking with fellow symposium attendees.

Poster Presentations:

• DPAgent-in-the-Middle: Agentic Defense and Repair Against AI-Groomed Deceptive Interfaces – Mr. Zewei Shi (The University of Melbourne; CSIRO’s Data61), Ruoxi Sun (CSIRO’s Data61); Haoyang Li (Macquarie University); Jieshan Chen (CSIRO’s Data61); Seong Oun Hwang (Gachon University); Feng Liu (The University of Melbourne); Minhui Xue (CSIRO’s Data61); Xingliang Yuan (The University of Melbourne)
• Characterisations and barriers of responsible AI and their affordances – Ms. Lorenn Patricia Ruster (ANU)
• Promise or Peril? An Evaluation of Large Language Models for Vision Language Navigation – Ms. Jiamin Chang (UNSW) , Jason Xue (CSIRO’s Data61); Hammond Pearce (UNSW)
• Secure Self-Extending Communication for Responsible AI Deployment – Mr. Hugo O’Connor (anuna.io)
• The devil is in the details: Alignment failures in Adversarial Machine Learning – Dr. Andrew Cullen (The University of Melbourne)
• The Ethical Core of Healthcare Logistics: Privacy, Policy, and Predictive Maintenance – Mrs. Mandeep Kaur Sandhu, Vasso Apostolopoulos (School of Health and Biomedical Sciences, RMIT); Araz Nasirian (School of Accounting, Info Sys & Supply Chain, RMIT); Jack Feehan (School of Health and Biomedical Sciences, RMIT)
• On the Grounds of Unfairness: Using Abductive Explanations to Detect Proxy Discrimination in AI – Mrs. Belona Sonna (Australian National University), Alban Grastien (Australian National University \ CEA List)

Two complementary workshops will empower you to move from principles to practice. This first workshop will allow you to engage deeply with a specific Responsible AI theme in a small group discussion format.

The second workshop will focus on translating ideas into impact through written content. This collective process will form the bedrock for future writing collaborations, empowering you and your teams to continue engaging with Australia’s Responsible AI ecosystem.

Conclude two days of programming with a joint networking event with registrants of the 26th International Conference on Digital Image Computing: Techniques and Applications (DICTA 2025).