Canada's AI and Data Act

Overview

The Artificial Intelligence and Data Act (AIDA) was proposed Canadian federal legislation, introduced as Part 3 of Bill C-27, the Digital Charter Implementation Act, 2022, in June 2022. It represented Canada's initial comprehensive attempt to establish a regulatory framework for artificial intelligence (AI) systems within the country. The primary objective of AIDA was to ensure the responsible design, development, and deployment of AI systems that could significantly impact the lives of Canadians, aiming to balance fostering innovation with robust protection for citizens. The Act sought to achieve this by setting foundational requirements for AI governance, particularly focusing on the safety and non-discriminatory nature of AI systems.

AIDA adopted a risk-based approach, distinguishing itself from some other global AI regulations by centering on the actual impact AI systems could have on individuals, rather than solely on their technical specifications. This approach was intended to provide flexibility and adaptability as AI technology continued to evolve. The legislation aimed to hold businesses accountable for the AI activities under their control, requiring them to implement governance mechanisms and policies to address risks. Despite its ambitious goals and extensive parliamentary review, Bill C-27, including AIDA, ultimately did not become law, as it died on the Order Paper in January 2025 due following the prorogation of Parliament.

Definitions

AIDA included key definitions central to its regulatory scope. An "artificial intelligence system" was defined as a technological system that, autonomously or partly autonomously, processes data related to human activities through techniques such as genetic algorithms, neural networks, or machine learning, to generate content, make decisions, recommendations, or predictions. This broad definition aimed to be future-proof, encompassing various evolving AI technologies.

The legislation's focus was largely on "high-impact systems," although the specific criteria for what constituted a high-impact system were left to be established in future regulations. However, the companion document and other analyses indicated that such systems would include those with the potential for serious physical or psychological harm to individuals, damage to property, or substantial economic loss. Examples of systems of interest included screening systems impacting access to services or employment, biometric systems for identification, systems influencing human behavior at scale, and systems critical to health and safety. The concept of "harm" was explicitly defined to include physical or psychological harm to an individual, damage to an individual's property, or economic loss to an individual.

Governance and Institutional Framework

The proposed governance structure for AIDA envisioned a significant role for the Minister of Innovation, Science and Industry, who would have been empowered to administer and enforce the Act. A key institutional innovation was the planned creation of an office headed by an Artificial Intelligence and Data Commissioner. This Commissioner was intended to serve as a center of expertise, supporting both the development of regulations and the ongoing administration of the Act.

The AI and Data Commissioner's responsibilities would have included monitoring company compliance, ordering third-party audits, and sharing information with other regulators and enforcement bodies as appropriate. The role was designed for gradual evolution, starting with education and assistance, and eventually expanding to include compliance and enforcement functions once the Act came into force. This framework aimed to ensure that policy and enforcement could adapt dynamically as AI technology progressed, fostering a responsive regulatory environment.

Key Focus Areas

AIDA's key focus areas revolved around a risk-based approach to AI regulation. For all AI systems, persons involved in their design, development, making available, or managing their operation were required to assess whether their system was a high-impact system and keep records of this assessment. For high-impact AI systems, stricter obligations were proposed. These included establishing measures to identify, assess, and mitigate risks of harm or biased output, and continuously monitoring the effectiveness of these measures.

Transparency was another critical component, with requirements for providers and operators of high-impact systems to publish plain-language descriptions of their systems on public websites. These descriptions were to include information about the system's intended purpose, capabilities, limitations, and potential impacts, allowing users to make informed decisions. Furthermore, AIDA proposed prohibitions against specific harmful uses of AI, such as knowingly possessing or using unlawfully obtained personal information to design or develop an AI system, or making an AI system available for use if it was known or reckless to cause serious harm or substantial economic loss.

Implementation Framework

The implementation of AIDA was designed to be a phased process, emphasizing an agile approach to regulation given the rapid evolution of AI technology. Following the anticipated Royal Assent of Bill C-27, the government intended to conduct broad and inclusive consultations with various stakeholders, including industry, academia, civil society, and Canadian communities. These consultations would have been crucial for informing the development of detailed regulations, which were meant to build upon the foundational framework established by AIDA.

Key areas for regulatory development included defining the precise criteria for high-impact systems, establishing standards and certifications to ensure AI systems met Canadian expectations, and detailing the specific requirements for risk mitigation, transparency, and data governance. This iterative approach, involving continuous collaboration and adaptation, aimed to ensure that the regulations remained effective in protecting the public interest while avoiding undue burdens on the Canadian AI ecosystem and fostering innovation.

Monitoring and Evaluation

Under the proposed AIDA, monitoring and evaluation were integral to ensuring ongoing compliance and the responsible operation of AI systems. Persons responsible for high-impact AI systems were mandated to not only establish measures for identifying, assessing, and mitigating risks of harm or biased output but also to continuously monitor the effectiveness of these measures. This included keeping detailed records describing the measures taken and their outcomes.

The Minister of Innovation, Science and Industry, supported by the AI and Data Commissioner, would have possessed significant oversight and enforcement tools. These included the power to compel the production of records and information from regulated entities to verify compliance. In situations where a high-impact system could result in harm or biased output, the Minister could order an independent audit. Furthermore, in cases of serious risk of imminent harm, the Minister had the authority to order the cessation of use or making available of a high-impact system, and could also order the publication of information related to compliance or system risks, while safeguarding confidential business information.

Penalties, Liability, and Appeals

AIDA outlined a tiered system of penalties for non-compliance, designed to promote adherence rather than solely punish. This framework included administrative monetary penalties for contraventions of regulatory requirements. For more serious infractions, the Act proposed criminal offences. These offences covered actions such as knowingly possessing or using unlawfully obtained personal information for AI system development, or making an AI system available knowing or being reckless that it was likely to cause serious harm or substantial damage to property, and if such harm or damage actually occurred.

The proposed penalties were substantial, with fines potentially reaching up to $25 million or 5% of global revenue, whichever was greater, for certain offences. The Act also included provisions for the Minister to issue orders, such as requiring the publication of information related to compliance or system audits, and in cases of serious imminent harm, ordering the cessation of an AI system's use. The enforcement mechanisms were intended to provide the Minister and the AI and Data Commissioner with robust tools to ensure accountability across the AI lifecycle.

Relationship to Other Instruments

The Artificial Intelligence and Data Act was introduced as Part 3 of Bill C-27, the Digital Charter Implementation Act, 2022. This broader legislative package also included the Consumer Privacy Protection Act (CPPA) and the Personal Information and Data Protection Tribunal Act. AIDA was intended to complement these privacy-focused laws, recognizing that effective AI oversight requires comprehensive data protection.

AIDA was designed to build upon existing Canadian legal frameworks, including consumer protection and human rights laws. It aimed to ensure that high-impact AI systems met the same expectations for safety and human rights that Canadians were accustomed to in other regulated sectors. The intent was for the new AI regulations to be interoperable with existing and future regulatory approaches, integrating seamlessly with Canada's broader legal landscape and supporting a holistic approach to digital governance.

International Alignment

Canada's approach to AI regulation through AIDA was consciously designed with international alignment in mind. The framework, including key definitions and concepts, was intended to reflect and align with evolving global norms in the AI space. This included principles established by the Organization for Economic Co-operation and Development (OECD) AI Principles, as well as frameworks like the European Union's AI Act and the US National Institute of Standards and Technology (NIST) Risk Management Framework.

The goal of this international interoperability was to facilitate Canadian companies' access to global markets and to ensure that Canada remained competitive in the global AI landscape. By adopting a risk-based approach and seeking consistency with international standards, AIDA aimed to position Canada as a leader in responsible AI governance, while also allowing for a uniquely Canadian perspective that balanced innovation with protection.

Implementation Timeline

Sources and References