AAAI Fall Symposium

The SECURE-AI4H Symposium (Safe, Ethical, Certified, Uncertainty-aware, Robust, and Explainable AI for Health) brings together a multidisciplinary community focused on advancing trustworthy AI in healthcare and biomedicine. As AI technologies are increasingly deployed across diagnostics, hospital workflows, robotics, and personalized medicine, their safety, transparency, and real-world certifiability have become critical challenges. This symposium aims to foster cross-sector dialogue among AI researchers, clinicians, ethicists, engineers, cybersecurity experts, and policymakers to develop AI systems that are not only high-performing but also certifiable, interpretable, privacy-preserving, and resilient to adversarial threats.

Dr. Apurva Narayan

Associate Professor — Computer Science & Electrical and Computer Engineering
Western University
Affiliate Associate Professor — University of British Columbia
Associate Faculty — UBC School of Engineering
Adjunct Associate Professor — University of Waterloo

Dr. Hong Qin

Associate Professor — School of Data Science & Computer Science
Old Dominion University

Dr. Elham Dolatabadi

Assistant Professor — Electrical & Computer Engineering
University of Alberta
Principal Investigator — i4Health Research Lab

Dr. Rishi Ganesan

Paediatric Intensive Care Physician-Researcher — Children’s Hospital, LHSC
Assistant Professor — Paediatrics, Schulich School of Medicine, Western University
Associate Scientist — Lawson Health Research Institute