Operationalising Accountability

Operationalise accountability so that responsibility for AI behaviour is unambiguous. Learn the named-owner rule (every model and every AI decision has a named human owner), RACI for AI decisions, immutable audit trails of who decided what when (and why), after-action review discipline for AI incidents, the link to performance management (RAI in role expectations and reviews), and how to avoid 'algorithm-blaming' that lets humans off the hook.