How Local Government is Delivering Safe, Ethical and Effective AI
Risk, Data & Compliance | People, Culture & Adoption | Case Study / Real-World Example
Session Summary
As AI moves from ambition to embedded workflow, the real risk is not only bias or privacy. It is erosion of institutional reasoning: accountability diffuses, evidence trails thin, and decisions become easier to reconstruct than defend.
In this session, Vivienne draws on local government practice to show what responsible AI looks like when it has to work under operational pressure. She explores decision integrity in the round: data boundaries, governance ownership, decision rights, risk appetite, workforce readiness, and escalation authority when something feels off.
This is not a tour of frameworks. It is a grounded account of governance that remains defensible under audit, complaint, media, or review.
Who is this session for:
Organisations implementing AI who need to ensure safe, ethical and compliant deployment.
