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Artificial Intelligence and Future of Work

The emergence of Artificial Intelligence (AI) in everyday processes is becoming increasingly common, affecting the lives of people in implicit and explicit manners. The application of AI has changed government processes, enabling governments to be more efficient in a variety of realms ranging from defence to healthcare (Datar, 2019). While Canada has adopted some AI measures, it lags behind countries such as China who have leveraged the potential of AI.

Analyst: Joud Alhmoud, Joseph Rossi, Angelah Liu 

Team Lead: Anandu Nair 

April  2021

Autonomous Vehicle Regulations: Jurisdictional Scan on the US, China, Europe, and Canada

Autonomous vehicles (AVs) will likely be the way of the future. The benefits of autonomous vehicles include improved safety, improved access to transportation, less congestion on roadways, and increased economic activity as there will be less traffic accidents. The purpose of this jurisdictional scan is to outline the existing regulatory frameworks surrounding autonomous vehicles in 4 different regions: the United States, China, Canada, and Europe. We also highlighted the challenges that each region is facing in terms of ethical and logistic problems when considering making autonomous vehicle policy.

Analyst: Matt Frola, Eric Gu, Amandeep Hanspal, James Phan

Team Lead: Reem Sheikh-Khalil

April  2021

Towards A National Data Strategy: the case for more active governance

Digital technology has allowed data to be collected and used far more cheaply and easily than ever before. This generates considerable economic opportunities, and indeed we have seen how business models have evolved with data at their center. But just as the economic opportunities cannot be overstated, a digital transformation has raised numerous concerns. To date, Canada has insufficiently updated its laws, regulations and policies to govern the use and data and ensure that our fundamental values are upheld in the digital sphere. A national data strategy involves a coordinated whole-of-government approach to data governance. We will focus on two issues in particular - competition and national security -- which stem from inadequate data governance, and discuss how Federal policy changes can address these issues.

Analyst: Jessica Macdonald, Hugh Ragan, Samantha Odrowaz-Sekely

Team Lead: Brody Longmuir

April  2021

Policy Toolkit: The Key Fundamentals to An Understanding of Disruptive Innovation and Regulatory Policy

This policy toolkit seeks to assemble fundamental knowledge regarding disruptive innovation and regulatory policy. This toolkit also includes a key list of considerations on making decisions regarding regulatory policy. 

Analyst: Sophia Akhavan-Zanjani

Team Lead: Jeanne Lee

April  2021

AI as a Disruptive Technology: Canada’s future of AI Regulation and Governance

This report seeks to advise on Canada’s approach on AI governance by examining the keys risks of AI and the leading regulatory responses around the world. This report first illustrates the disruptive nature of AI, and then lists out the key issues associated with the regulation of this technology along with some high-impact and high-risk areas that government should devote more attention to. The next section examines Canada’s current approach to AI regulation and conducts a jurisdictional scan on international practices and trends. In the final section, this report will outline the key considerations and provide a list of policy recommendations to the Canadian government based on those considerations.

Analyst: Jiayang (Irene) Shan

Team Lead: Jeanne Lee

April  2021

New Zealand's Success Fighting Covid-19

This infographic presents key statistics and findings to understand how New Zealand's attempt to controlling the deadly coronavirus has been different compared to the rest of the world. 

Analyst: Illya Petukhov

Team Lead: Joanne Soares

April  2021

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