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Schwartz Reisman Institute
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Relevant for those tracking Canadian AI legislation; AIDA was introduced alongside Canada's Bill C-27 and represents one of the first national-level AI regulatory frameworks in North America, though its passage has faced delays and scrutiny.
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Importance: 38/100news articlenews
Summary
This article from the Schwartz Reisman Institute discusses the future of Canada's Artificial Intelligence and Data Act (AIDA), examining its legislative progress, key provisions, and implications for AI governance in Canada. It provides analysis of how AIDA fits into the broader landscape of international AI regulation efforts.
Key Points
- •AIDA (Artificial Intelligence and Data Act) is Canada's primary legislative attempt to regulate high-impact AI systems
- •The article examines the uncertain legislative future of AIDA and potential revisions or alternatives
- •Discusses how AIDA compares to other international regulatory frameworks like the EU AI Act
- •Highlights key stakeholder concerns around definitions of 'high-impact' AI and accountability mechanisms
- •Considers the role of institutions like the Schwartz Reisman Institute in shaping Canadian AI policy
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Artificial Intelligence and Data Act (AIDA) | Policy | 46.0 |
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What’s Next After AIDA? — Schwartz Reisman Institute
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What’s Next After AIDA?
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Feb 11
Written By Maggie Arai
Canada’s first attempt at comprehensive AI regulation, Bill C-27 – which introduced the Artificial Intelligence and Data Act (AIDA) – was halted in January 2025. However, this doesn’t mean AI governance is stalled. Provinces like Ontario are advancing their own AI regulations, such as Bill 194, and federal Treasury Board instruments (along with sector-specific bodies) continue to shape the landscape.
Introduction
Canada’s first attempt at comprehensive artificial intelligence (AI) regulation halted on January 6, 2025 when Prime Minister Justin Trudeau’s resignation and prorogation of Parliament caused Bill C-27 to die on the order paper. The bill, which introduced the proposed Artificial Intelligence and Data Act (AIDA), had been making its way through Parliament since June 2022, facing significant criticism even after the government attempted to assuage concerns by releasing proposed amendments in late 2023.
Canada has taken a proactive approach to the safe governance of AI, balancing innovation with ethical considerations and risk mitigation. It was the first country to implement a national AI strategy in 2017, among the earliest to implement AI-specific regulations for government use with its 2019 Directive on Automated Decision-Making , a founding member of the Global Partnership on AI (GPAI) in 2020, and most recently launched its AI Safety Institute (CAISI) in November of 2024. AIDA was just one of many initiatives the country has taken over the past several years; however, it was among the most significant of its efforts to ensure the safe and responsible use of AI within its borders.
As such, in the wake of AIDA’s death and with a federal election on the horizon, a key question has emerged: what’s next for Canada after AIDA?
Looking beyond federal legislation
Although AIDA’s failure and the pending federal election have introduced uncertainties about Canadian AI regulation, it is important to note that federal legislation is only one piece (albeit an important one) of the AI governance landscape. AI governance has not ground to an abrupt halt with the death of AIDA. In fact, given that Canada is highly unlikely to pass successful federal AI regulation for the next few years, it will be imperative to turn to other regulatory efforts, at least in the interim, in order to sustain a safe and competitive AI industry.
Canada already has several regulatory tools shaping AI governance at the federal, provincial and sectora
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