How do you mitigate AI risk?

The four levels of AI risk mitigation

Governance mitigations establish the framework within which everything else operates: an AI use policy that defines what is permitted and prohibited; an AI risk register that identifies and monitors risks; a named AI governance lead with accountability; a board-level AI risk appetite statement; and regular AI governance reporting. Without these, individual mitigations are ad hoc and uncoordinated. Technical mitigations address specific risk mechanisms: human oversight protocols for AI outputs that affect consequential decisions; audit trails that document AI use; verification requirements before AI outputs are relied upon; data handling controls that prevent sensitive data entering unsanctioned AI tools. Operational mitigations address how AI is used in practice: employee training on AI literacy and the AI use policy; process controls that embed verification into AI-assisted workflows; incident reporting procedures for AI failures. Legal mitigations address the regulatory and contractual dimensions: EU AI Act compliance assessments; data processing agreements that provide GDPR protections; contractual protections in AI vendor agreements.

A proportionate approach to AI risk mitigation

Proportionality is central to AI risk mitigation: the controls applied to a high-risk AI system used in employment decisions should be substantially more rigorous than those applied to a low-risk AI tool used for internal drafting. Over-controlling low-risk AI wastes resources and creates friction that drives shadow AI. Under-controlling high-risk AI creates regulatory exposure and operational harm. A proportionate approach starts with the risk assessment — identifying which AI systems carry the most significant risks — and applies controls commensurate with those risks. For most Irish SMEs, the most important mitigations are those that address the highest-prevalence risks: data exposure (AI use policy, enterprise tool procurement standards), hallucination (verification protocols for AI-assisted client work), and EU AI Act regulatory risk (compliance assessment for any high-risk AI use). These three areas of mitigation address the majority of the real risk exposure that Irish organisations face today.