Law Commons^™

End-Of-Life Decision Making: Policy And Statutory Progress (2011-2020), Jocelyn Downie, Mona Gupta, L. Wayne Sumner, Joshua Wales

Reports & Public Policy Documents

In 2009, the Royal Society of Canada (RSC) identified a series of urgent scientific and public policy questions. It established a series of five Expert Panels to study the issues and provide recommendations for next steps. It is now timely to revisit the findings of these Expert Panel Reports. What impact have they had? Have their recommendations been implemented? What are the next steps in terms of policy options?

To answer these questions, the RSC is establishing Policy Briefing Committees (PBC) to:

• describe the context, findings, and recommendations of the report;
• track policy developments in relation to the panel’s findings …

Sustaining Canadian Marine Biodiversity: Policy And Statutory Progress, Jeffrey A. Hutchings, Julia K. Baum, Susanna D. Fuller, Josh Laughren, David Vanderzwaag

Articles, Book Chapters, & Popular Press

A 2012 Expert Panel Report on marine biodiversity by the Royal Society of Canada (RSC) concluded that Canada faced significant challenges in achieving sustainable fisheries, regulating aquacul- ture, and accounting for climate change. Relative to many countries, progress by Canada in fulfilling international obligations to sustain biodiversity was deemed poor. To track progress by Canada since 2012, the RSC struck a committee to track policy and statutory developments on matters pertaining to marine biodiversity and to identify policy challenges, and leading options for implementation that lie ahead. The report by the Policy Briefing Committee is presented here. It concluded that …

Portrait Of A Transplant Artist, Kim Brooks

Articles, Book Chapters, & Popular Press

This article explores the process of norm migration through the study of one tax expert, Victor Thuronyi. It situates the literature on the role of experts in tax norm migration and identifies core themes and gaps in the tax transplant literature; explores five themes, connected to the literature on the role of tax experts and tax transplants, that arise from a study of Victor Thuronyi’s contributions to tax transplantation; and concludes with some reflections on the benefits and challenges of having highly specialized, non-insider tax experts engaged in the exercise of drafting tax laws.

The Ethical Tax Judge, Kim Brooks

Articles, Book Chapters, & Popular Press

This chapter advances the claim that judges have an ethical obligation of competence that requires them to enhance their knowledge about language (in the context of statutory interpretation) and income tax law design and policy. It articulates some of the foundational understandings that support that competence and provides a simple hierarchy of approaches to interpreting income tax law. It concludes by contending that greater competence is not only more ethical but also advances other important societal goals fulfilled by the imposition of income tax systems.

Does The Attorney General Have A Duty To Defend Her Legislature’S Statutes? A Comment On The Reference Re Genetic Non-Discrimination Act, Andrew Martin

Articles, Book Chapters, & Popular Press

The Reference Re Genetic Non-Discrimination Act was unusual because the Attorney General for Canada argued that federal legislation was unconstitutional. In this comment, I explore the implications of this choice for the role of the Attorney General and her relationship with Parliament. I argue that the Attorney General has a duty not to defend legislation, including legislation that began as a private member’s bill, that she reasonably believes to be unconstitutional – and that if Parliament wants to defend such legislation, it should do so itself instead of relying on the Attorney General. If Parliament does not do so, the …

Legal Risks Of Adversarial Machine Learning Research, Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert

Articles, Book Chapters, & Popular Press

Adversarial machine learning is the systematic study of how motivated adversaries can compromise the confidentiality, integrity, and availability of machine learning (ML) systems through targeted or blanket attacks. The problem of attacking ML systems is so prevalent that CERT, the federally funded research and development center tasked with studying attacks, issued a broad vulnerability note on how most ML classifiers are vulnerable to adversarial manipulation. Google, IBM, Facebook, and Microsoft have committed to investing in securing machine learning systems. The US and EU are likewise putting security and safety of AI systems as a top priority.

Now, research on adversarial …