Author: Lisa Silver Page 2 of 9

By: Lisa Silver

PDF Version: Who is Responsible for Extreme Intoxication? 

Case Commented On: R v Brown, 2021 ABCA 273 (CanLII) (Supreme Court of Canada Appeal Hearing Scheduled for November 9, 2021)

What you are about to read is not the usual case commentary. I will not summarize, analyze, or otherwise slice and dice the decision from the Alberta Court of Appeal in R v Brown, 2021 ABCA 273 (CanLII), a case upholding the constitutionality of s 33.1 of the Criminal Code, RSC 1985, c C-46. Rather, I will provide context for the case, setting out the underlying principles at stake and the controversies underpinning the conflicting legal perspectives. Section 33.1 was a response by our lawmakers to the Supreme Court of Canada’s ultimate decision in R v Daviault, 1994 CanLII 61 (SCC), [1994] 3 SCR 63, which found the rule against using intoxication as a defence for general intent offences unconstitutional under s 7 of the Charter (Part I of the Constitution Act, 1982, being Schedule B to the Canada Act 1982 (UK), 1982, c 11), where the accused was in a state of extreme intoxication. Section 33.1 promptly foreclosed this limited defence where the accused person used violence against or interfered with the bodily integrity of any person. Although the section was added to the Criminal Code in 1995, a mere one year after the release of Daviault, it is only recently that appellate courts have weighed in on the constitutionality of that section.

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By: Lisa Silver and Gideon Christian

PDF Version: Harnessing the Power of AI Technology; A Commentary on the Law Commission of Ontario Report on AI and the Criminal Justice System

Report Commented On: Law Commission of Ontario, The Rise and Fall of AI and Algorithms In American Criminal Justice: Lessons for Canada, (Toronto: October 2020).

The Law Commission of Ontario (LCO) recently released its Report on the use of artificial intelligence (AI) and algorithms in the Canadian criminal justice system. The Report, which is the first of three papers on the issue, is one of the most comprehensive discussions of the use of AI and algorithmic technologies in the criminal justice system to date. In Canada, AI use in the criminal justice system is limited and not easily subject to in-depth review. In the United States, however, AI and algorithms are used extensively throughout the justice system, particularly in pre-trial release decision-making. Not surprisingly, then, the Report draws from this American experience to arrive at a number of recommendations for application to the Canadian context. Based on those lessons learned, the LCO Report warns of “the risk of adopting unproven and under-evaluated technologies too quickly to address long-standing, complex and structural problems in the justice system” (at 7).  Yet, in the midst of this cautionary tone, the Report also recognizes that AI use in the criminal justice system will likely increase in the future. The Report proactively outlines a framework for such use by urging AI regulation, the application of legal protections to AI, and community involvement in developing AI best practices. All of these warnings and recommendations are extremely useful but the Report begs the basic question of whether the justice system should be using machine intelligence, with its embedded biases, in matters that can profoundly change people’s lives. Ultimately, the Report should stand as a timely reminder of the unharnessed power of technology and the realistic potential for injustice when it is used without restraint.

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