Canada’s Spy Watchdog Reviews AI Use in National Security

OTTAWA – The National Security and Intelligence Review Agency, Canada’s independent spy watchdog, is conducting a comprehensive review of how artificial intelligence (AI) is utilized in national security operations. The agency aims to evaluate the governance and implications of AI technologies within security agencies.

This examination will encompass how these organizations define and oversee the deployment of AI, which has already been employed in various tasks including document translation and malware detection. In a letter addressed to key federal ministers and agency heads, Marie Deschamps, the chair of the review agency, emphasized that the study’s findings will provide valuable insights into the integration of new technologies and identify potential risks that require attention.

The review agency holds the statutory authority to access all information from departments involved in national security, including classified materials, barring cabinet confidences. Deschamps noted that the review process may involve requests for documents, briefings, interviews, surveys, and even independent inspections of technical systems.

The letter was disseminated to several cabinet members, including Prime Minister Mark Carney and Evan Solomon, Minister of Artificial Intelligence and Digital Innovation. Other recipients included Gary Anandasangaree, Minister of Public Safety, David McGuinty, Minister of Defence, Anita Anand, Minister of Foreign Affairs, and Mélanie Joly, Minister of Industry. The heads of major security agencies, such as the Canadian Security Intelligence Service (CSIS), the Royal Canadian Mounted Police (RCMP), and the Communications Security Establishment (CSE), also received the communication, alongside leaders of other agencies not typically associated with security, including the Canadian Food Inspection Agency and the Public Health Agency of Canada.

In response to inquiries regarding the review, the RCMP expressed support for independent assessments of national security practices. The agency stated, “The RCMP believes that establishing transparent and accountable external review processes is critical to maintaining public confidence and trust.”

In 2024, a report from the National Security Transparency Advisory Group urged Canada’s security agencies to provide detailed accounts of their AI applications. The advisory body highlighted a growing reliance on AI for analyzing extensive data sets, identifying patterns, and interpreting behaviours. While CSIS and CSE acknowledged the importance of transparency, they noted constraints on publicly disclosing certain information due to security mandates.

The federal government has established principles governing AI use, which emphasize transparency in its application and the management of any risks it presents to legal rights and democratic norms. Additionally, training for public officials involved in AI development is recommended to ensure they are aware of legal, ethical, and operational considerations, particularly concerning privacy and security.

In its annual report, CSIS indicated that it is implementing AI pilot programs in alignment with the federal government’s guiding principles. The RCMP also outlined several factors crucial for the responsible use of AI, including the design of systems to prevent bias, maintaining privacy during data analysis, and ensuring accountability in AI decision-making processes.

The CSE has articulated its commitment to developing innovative AI and machine learning capabilities to address critical challenges. The agency’s strategy emphasizes the need for responsible AI deployment, stating that, when implemented correctly, these technologies can enhance data analysis capabilities, thereby improving decision-making speed and quality. Caroline Xavier, chief of the CSE, affirmed in a message, “We will always be thoughtful and rule-bound in our adoption of AI, keeping responsibility and accountability at the core of how we will achieve our goals.”

This review reflects a growing recognition of the necessity for oversight and transparency in the application of AI technologies within national security, highlighting the balance between innovation and public trust in government operations.