AI Governance and Responsible AI Pattern

Organisations deploying AI systems face governance requirements that go far beyond securing the technology itself. Regulators, auditors, and affected individuals increasingly demand answers to questions that traditional security controls were never designed to address: Is the training data representative and free from harmful bias? Can the AI system explain its decisions to affected individuals? Has the organisation assessed the societal impact of deploying this system? Who is accountable when the AI makes a consequential error?