AI Governance - Information Matters

Traditional governance models, reliant on static documents and manual reviews, are fundamentally incompatible with the velocity and complexity of modern AI and software development. This paper examines the paradigm of “Governance as Code” (GaC), a transformative approach that embeds information policies, ethical guidelines, and compliance controls directly into the technology stack. By translating human-readable rules into machine-executable code, GaC enables proactive, automated enforcement within DevOps and AIOps pipelines. We explore practical implementations such as AI guardrails that filter sensitive prompts and automated risk-tiering systems that streamline project oversight.

May 1, 2025 Jodie Lobana

Forging a Middle Path: Canada’s Moment to Lead in AI Governance

Today, with the AI landscape evolving rapidly, especially with the explosive advancement of generative AI technologies, Canada finds itself pulled between two global powers: the United States, favouring open innovation, and the European Union, doubling down on strict AI regulation. Canada does have a proposed Artificial Intelligence and Data Act (AIDA), introduced in 2022 as part of Bill C-27, which aims to regulate high-impact AI systems. However, AIDA is still under review and has yet to be finalized, leaving a critical gap in national legislation.