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Login to watch this video if you have a subscription. Learn more about subscriptions.Recorded at the Schulich School of Law at Dalhousie University in Halifax, this “AI and Accountability” presentation features a panel of experts on law, technology and AI: Binod Sundararajan, Dalhousie University, Jennifer Raso, McGill University, and Katie Szilagyi, University of Manitoba, and is moderated by Matthew Dylag, Dalhousie University.
They examine what accountable AI means for courts, tribunals, public institutions and private organizations. The presentation explores how algorithmic tools and generative AI are already used in administrative and criminal justice, immigration decision making and legal practice, highlighting risks such as automation bias, mission creep, batch processing, data sovereignty problems and the erosion of procedural fairness when people are reduced to “files” rather than being genuinely heard. Drawing on administrative law, human rights, employment and workplace safety rules, privacy frameworks and Indigenous data governance, the speakers emphasize that existing Canadian legal regimes already apply to many AI deployments and should guide how institutions justify decisions, design oversight and maintain the rule of law. They also discuss the stalled federal AI bill, the need to modernize privacy laws and the importance of leadership accountability, interdisciplinary design and careful deployment of large language models so that AI supports rather than undermines democratic governance. The presentation offers timely, practice-oriented insight for lawyers, policymakers, adjudicators and advocates who want to work critically with AI while protecting clients, communities and public trust in institutions.
Overall, the presentation focuses on how accountable AI can be grounded in Canadian public law so that automated decision making remains compatible with democracy, fairness and meaningful institutional accountability.
Katie Szilagyi joined the faculty at Robson Hall in 2021. She teaches 1L Property Law and an upper year seminar in Law and Technology.
Professor Szilagyi’s research is at the intersection of technology law and legal theory with artificial intelligence, working to trace the impacts of predictive analytics and algorithmic decision-making on the organizing force of the Rule of Law. Her innovative, interdisciplinary research applies foundational legal concepts like property, autonomy, consent, and privacy to emerging technological settings. She has published and presented on the transformative impacts of blockchain technology on the legal landscape, as well as the international humanitarian law implications of autonomous weapons systems on the battlefield. She is affiliated with collaborative and cross-cultural research networks, such as the Canadian Robotics & Artificial Intelligence Ethical Design Lab (CRAiEDL) and the Open African Innovation Research Network (OpenAIR).
Originally a University of Manitoba alumna, Professor Szilagyi completed her Bachelor of Science in Biosystems Engineering in 2008. She received her Juris Doctor degree from the University of Ottawa in 2012, completing joint specializations in Law and Technology and International Law. She then clerked at the Federal Court of Appeal in Ottawa and practiced commercial litigation at a large national firm in Toronto. She earned her LLM degree, specializing in Law and Technology, at Tel Aviv University in 2017. She returned to the University of Ottawa for her doctoral studies, which were supported by a SSHRC Joseph-Armand Bombardier CGS Doctoral Scholarship, the Ontario Graduate Scholarship, and the uOttawa Excellence Award. During her doctoral studies, she was selected as a 2019 Global Fellow of the Institute of Technology and Society in Rio de Janeiro, Brazil.
Professor Szilagyi is passionate about legal education and effective legal pedagogy, with an eye to increasing access for first generation students and historically minoritized groups. Before joining Robson Hall, Professor Szilagyi was a part-time professor at the University of Ottawa’s Faculty of Law (Common Law Section). While a full-time doctoral student, she taught courses in Contract Law, Privacy Law, Law and Technology, and Intellectual Property Advocacy. She also supervised directed research projects in the technology law space and coached three IP moot court teams: the Oxford International IP Moot, the Fox IP Moot, and the Copyright Policy Moot. She is an Associate Member of uOttawa's Centre for Law, Technology and Society
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