This framework provides a structured approach for ensuring responsible and transparent use of AI systems across government, emphasizing governance, data integrity, performance evaluation, and continuous monitoring.
A customizable policy template that establishes governance, roles, principles, and risk-management processes for the responsible use of artificial intelligence within a government agency.
A public summary of findings from an AI trust study showing how Canadians perceive and trust different AI designs on the official government website, particularly preferring custom, transparent AI experiences over general third-party AI tools.
This policy establishes a framework for ensuring the quality, accuracy, and reliability of government data to support effective decision-making, analytics, and artificial intelligence initiatives.
This guidance document provides a framework for developing an agency-wide data strategy that aligns data governance, management, and analytics with organizational goals and service delivery.
How can governments use artificial intelligence (AI) to advance digital accessibility? During this roundtable, Andrew Merluzzi, AI Innovation + Incubation Fellow at the Beeck Center for Social Impact + Innovation, shared some applications of AI in digital accessibility. Attendees discussed which applications are most promising, which seem too difficult or risky, and how their agencies could start experimenting with AI.
This blog post shares findings from the February 2025 AI Trust Study on Canada.ca, revealing how Canadians perceive government AI and what builds trust.
Sarah Bargal provides an overview of AI, machine learning, and deep learning, illustrating their potential for both positive and negative applications, including authentication, adversarial attacks, deepfakes, generative models, personalization, and ethical concerns.
