The government’s consultation on AI transparency closed yesterday. My submission builds on appearances before the House of Commons Industry committee, the Senate Transport and Communications committee, and the Senate Social Affairs committee, and recommends an AI Transparency Act built on three pillars: mandatory public disclosure of AI corporate safety and escalation policies, an issue I raised in the aftermath of Tumbler Ridge, transparency on the works included in AI training data, and annual transparency reports on government and law enforcement demands for user data. It addresses each of the discussion paper’s five areas, including why Bill C-36 (the government’s privacy reform bill) is unlikely to facilitate better transparency in automated decision-making before at least 2030 and why Bill C-34’s synthetic content labelling obligation does not fully address the issue of identifying such content that can mislead. The full submission is posted below.

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