Regulating AI: A new report from the URC on Accountable AI and the LCO compares two leading international approaches

Posted on Wednesday, December 8, 2021

The University Research Chair on Accountable Artificial Intelligence in a Global Context, led by Chairholder Céline Castets-Renard, and the Law Commission of Ontario (LCO) have come together to prepare a new report, Comparing European and Canadian AI Regulation, which compares two leading international approaches to AI regulation:  the Canada ADM Directive and the European Commission’s proposed AI Rules for the European Union.

The regulation of AI and automated decision-making systems has become a pressing issue in Canada and around the world. The Government of Canada's Directive on Automated Decision-Making is the most significant initiative to date for directly regulating AI and automated decision-making in Canada. Many other Canadian governments, including the Government of Ontario, have also begun to consider the regulation of AI and automated decision-making.

The European Commission recently proposed its own comprehensive set of rules to govern the use of AI and related technologies in the European Union. This proposal represents the most comprehensive and significant international effort to date to regulate AI and related technologies. The EU's proposal represents a very different approach from Canada's directive on AI regulation.

By examining the strengths and weaknesses of each approach, the new report considers key AI regulation issues, including the definition of AI, risk assessment, bias, disclosure, oversight, and enforcement.

The report is available here.

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