The Evolving Challenges of Regulating Automated Decision-Making
Cette présentation offerte par la professeure Theresa Scalla de l’Université d’Ottawa explore l’évolution de la prise de décision automatisée et les défis qu’elle pose en matière de gouvernance.
À propos de la conférence
Automated decision-making has the potential to streamline government decision-making and to make it more efficient. At the same time, it has the potential to significantly affect individuals, raising concerns about bias, discrimination, error, and lack of transparency. Although early governance tools have attempted to tackle some of these challenges, generative AI technologies introduce a range of new issues which may prove much more difficult to govern.
This presentation explores the evolving face of automated decision-making and its governance challenges.
À propos de la conférencière
Theresa Scalla, professeure titulaire, section de Common Law, Université d’Ottawa
She is the author or co-author of several books, including: The Future of Open Data (uOttawa Press 2022); Artificial Intelligence and the Law in Canada (LexisNexis 2021); Digital Commerce in Canada (LexisNexis 2020); and Law and the Sharing Economy (uOttawa Press 2018).
She is a member of the Centre for Law, Technology and Society, as well as the Centre for Health Law, Policy and Ethics. She serves in a volunteer capacity on numerous advisory bodies, the Ontario Information and Privacy Commissioner’s Strategic Advisory Council and the Ontario Health Data Council. She is also the is the Chair of Ontario’s AI Expert Working Group. In 2024 she was awarded the Piccasso Award in the category of Privacy Leader Academia/Thought Leader.
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