AI Compliance Academy

📖 Learn

Five levels, 18 short lessons. Each one ends with a quick check. Sign in to save your progress.

Level 1 · Aware

The map: which laws exist, who they apply to, and the words everyone uses.

What AI compliance is (and who the rules target)

The world map of AI rules: EU, US patchwork, Canada, standards

Why it matters: what enforcement actually looks like

Level 2 · Emerging

First steps: an AI inventory, risk tiers, and the notices you already owe people.

Build your AI inventory

Risk classification: prohibited, high-risk, limited, minimal

Data and privacy basics for AI

Transparency and disclosure: telling people AI is involved

Level 3 · Defined

Written down: policies, human oversight, documentation and vendor terms.

Human oversight that actually works

Bias and fairness testing, including bias audits

Vendors and contract clauses

Documenting decisions: records and impact assessments

Level 4 · Managed

Measured: audits, monitoring, incident handling and proof that controls run.

Governance structure and roles

Incident response and monitoring

Security and robustness

Training and AI literacy programmes

Level 5 · Optimized

Ahead of the curve: standards, governance boards and continuous improvement.

Management systems in practice: ISO 42001, NIST AI RMF and continuous assurance

Preparing for enforcement, investigations and appeals

Staying current: key dates ahead and how to track change