Who's Accountable When AI Gets It Wrong?
AI Governance masterclass · Session 1 of 3 · NIST: Govern
In 90 minutes, you’ll name who answers for one artificial intelligence (AI) tool your team uses, and leave with a one-page map to prove it.
When Air Canada’s chatbot gave a customer wrong advice, the airline argued the chatbot was responsible for its own words. A British Columbia tribunal disagreed. AI tools are now part of everyday work, but most teams haven’t decided who owns what those tools produce.
Where you stand
If you approve or buy AI tools: name an owner for every tool you sign off on.
If you advise a leader or team: bring a responsibility map to your next meeting.
If you use AI day to day: know exactly what you’re accountable for.
If you’re getting oriented: understand who builds, who deploys and who uses AI, in plain words.
What we’ll do
Start with a question: when AI gets it wrong, who answers for it?
Two real cases: Air Canada’s chatbot and Deloitte’s report
The three roles around every AI tool, and the four things every team needs
Hands-on: map who owns one AI tool your team uses
Leave knowing who owns your AI tool, and one gap to close
You’ll take home: a one-page responsibility map and an AI use policy checklist
Bring: one AI tool your team uses
Educational session, not legal advice. Aligned to the Artificial Intelligence Governance Professional (AIGP) Body of Knowledge; not affiliated with or endorsed by the International Association of Privacy Professionals (IAPP).