Canada's Courts Are Drawing a Hard Line: AI Can Help, But Judges Must Decide
Canada's judicial system is taking a firm stance on artificial intelligence in courtrooms and government agencies: AI can assist, but humans must remain in control. New guidelines from the Canadian Judicial Council, the Federal Court, and the Government of Canada establish clear rules that decision-makers cannot delegate their authority to AI systems, no matter how sophisticated. Instead, these frameworks demand transparency, explainability, and continuous human oversight to protect procedural fairness and individual rights.
What Are Canada's New AI Guidelines for Courts and Government?
In October 2024, the Canadian Judicial Council released its Guidelines for the Use of Artificial Intelligence in Canadian Courts, establishing seven core principles for how judges can responsibly integrate AI into their work. The guidelines explicitly state that "no judge is permitted to delegate decision-making authority, whether to a law clerk, administrative assistant, or computer program, regardless of their capabilities." However, judges may use AI for non-judicial tasks like proofreading and dictation.
Three months later, in September 2025, the Federal Court published its own Interim Principles and Guidelines on the Court's Use of Artificial Intelligence, which goes further by requiring the court to conduct public consultation before using AI in judgment-making. The Federal Court also committed to external audits of any AI-assisted data processing methods it adopts.
At the federal government level, the Government of Canada updated its Directive on Automated Decision-Making in June 2025, applying to nearly all federal departments, boards, and tribunals. This directive requires that decision-makers provide notice before using automated systems, publish meaningful explanations of how the tools work, and explain to clients how and why decisions were made.
Why Is Explainability So Critical in AI Decision-Making?
One of the most striking requirements across all three frameworks is the demand for explainability. The Canadian Judicial Council's guidelines emphasize that AI tools must be able to provide "clear, understandable explanations for their output, making it easier for users and those affected to interpret, trust, contest, or accept AI output in critical workflows." This requirement mirrors the longstanding judicial principle that judges must provide reasoned explanations for their decisions.
The Federal Court's guidelines reinforce this principle by requiring transparency and accuracy in any AI-assisted data processing. The court committed to ensuring that its use of AI does not undermine judicial independence, access to justice, or fundamental rights, such as the right to a fair hearing before an impartial decision-maker.
How to Implement AI Responsibly in Government Decision-Making
- Maintain Human Authority: Decision-makers must retain final decision-making power and cannot delegate substantive choices to AI systems, even when AI recommendations are available.
- Provide Clear Explanations: Organizations must publish meaningful explanations of how automated decision-making tools work and provide individual explanations to clients about how and why decisions affecting them were made.
- Conduct Impact Assessments: Courts and government agencies must perform impact assessments before deploying AI tools and continue monitoring their long-term effects on fairness, accuracy, and discrimination.
- Ensure Data Security and Privacy: AI systems must meet stringent information security standards, with secure storage and management of sensitive data that protects confidentiality and purpose.
- Implement User Education: Decision-makers must undergo comprehensive training on AI tools and best practices before using them, ensuring they understand both capabilities and limitations.
- Prevent Discrimination: Organizations must actively ensure that AI use does not reproduce or aggravate existing discrimination in outcomes.
The Canadian Judicial Council's guidelines describe their framework as "aspirational and advisory in nature," but legal experts note that courts could adopt portions of these guidelines into common law, making them binding precedent.
A key tension remains unresolved: the Federal Court's guidelines currently preclude the court from using AI "in its decision-making function" without first conducting public consultations. To date, no such public consultations have been conducted, meaning the Federal Court has not yet deployed AI in judgment-making.
These frameworks reflect a broader global concern about AI accountability in high-stakes settings. Unlike commercial AI applications, judicial and administrative decisions directly affect individuals' rights, freedoms, and access to government services. By requiring explainability, human oversight, and transparency, Canada's guidelines attempt to balance the efficiency gains AI offers with the procedural fairness that citizens expect from their legal system.
The guidelines also acknowledge that AI bias and discrimination remain serious risks. The Federal Court's commitment to non-discrimination and the Canadian Judicial Council's emphasis on impact assessment suggest that Canadian authorities recognize AI systems can perpetuate or amplify existing societal biases if not carefully monitored.
For individuals concerned that an administrative decision was unfair or unreasonable, legal experts recommend consulting with specialists in administrative and public law who can assess whether AI use violated procedural fairness standards or produced an unreasonable outcome.