AI Governance

Audience: Executive Leadership

Duration: 0.5 Day

Delivery: Virtual or in-person

This course equips senior leaders with a clear understanding of how to govern AI responsibly. Covering ethics, bias, risk, security, sovereignty, compliance, and the disciplined management practices required to oversee AI projects in defence environments.

• Ethics and bias in AI — how to identify, mitigate, and govern unintended impacts.

• Algorithmic Impact Assessment (AIA) — assessing the impact of autonomous decision making. What it is, when it applies, and how it strengthens oversight and accountability.

• AI risk management — thinking about operational, legal, reputational, and mission‑critical risks that are unique to AI.

• Legislation, directives, and policy obligations — the Government of Canada requirements that shape compliant AI adoption.

• AI security — protecting models, data, and systems from adversarial threats, manipulation, and misuse.

• AI sovereignty — ensuring control over data, models, supply chains, and decision‑support systems.

• Managing AI projects — governance structures, roles, controls, and lifecycle practices that enable safe, accountable, and mission‑aligned AI delivery.