Canada Uses Opaque LLM Pipeline For Consultation
In October 2025, Minister Evan Solomon launched a 30-day public consultation on Canada’s AI strategy; ISED published a summary of more than 11,000 submissions and 32 task force reports last week. ISED says it used an internal pipeline combining four LLMs (Cohere Command A, GPT-5 nano, Claude Haiku, Gemini Flash) to automate analysis and drafting, but disclosed little about prompts, human validation, data protections, or opt-outs, prompting concerns that the process undermines public trust.
Key Points
- 1Integrates four LLMs into an internal analytics pipeline for classifying 11,000+ consultation submissions.
- 2Lacks transparency on prompts, human validation, and data flows, risking privacy breaches and foreign data transfers.
- 3Undermines efforts to build public trust, complicates policymaking and stakeholder buy-in for Canada's AI strategy.
Scoring Rationale
High national-policy relevance and official disclosures, tempered by opinionated critique and limited methodological detail from the government.
Sources
Public references used for this report.
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