What it means in practice
- Risk-based design — AI features are assessed for impact before release, with controls matched to how learners interact with avatars during high-stakes scenarios.
- Lifecycle governance — Model selection, prompt design, guardrails, and monitoring are documented and reviewed as part of our AI management system.
- Transparency — Learners practice in clearly defined scenarios. AI avatars stay in role; they do not impersonate real individuals without explicit scenario design.
- Accountability — Issues are tracked, reviewed, and fed back into product and policy updates — not treated as one-off incidents.
Certificate No. 517972026 · Registered by Citation ISO Certification