Ethical AI (practical, not performative)
Ethical AI is governance plus delivery discipline. If it isn't measurable, testable, and enforceable, it's just a poster.
What this stream covers
- Vendor claims vs reality: what to demand in evidence
- Controls that survive audit: accountability, traceability, monitoring
- Decision risk: when AI changes outcomes for real people
- Procurement and policy traps that create “compliance theatre”
Start here
If you're new to governance: anchor the basics first, purpose, risk classification, data lineage, human oversight, and an escalation path when the system fails.
Further reading
Ethical AI that ignores accessibility is broken by design.
Delivery risk Accessibility