AI Safety & Governance

AI safety and governance is the discipline of making AI systems behave reliably, stay aligned with their operators’ intent, and remain accountable as they are deployed into real organisations. It spans the technical side — alignment techniques, guardrails, refusal and jailbreak resistance, evaluation of harmful or biased behaviour — and the organisational side — risk frameworks, model cards, audit trails, and the emerging regulatory landscape (the EU AI Act, NIST’s AI RMF, sector rules). As models take on higher-stakes work, the people who can reason about both the engineering and the policy of safe deployment become essential.