Risk triage

AI Risk Management Must Anchor on Clear Business Accountability from Day One

The Air Canada chatbot decision shows why organisations remain responsible for automated outcomes. The AICD and Human Technology Institute's 2026 Director's Guide adds practical board questions for assigning AI decision rights and oversight.

Using AI Risk Management to Accelerate Innovation

New Diligent Institute / Governance Institute of Australia data shows 61% of Australian boards restrict employee AI use while only 13% have an AI-literate director — proof that restriction and real governance are pulling apart. NIST's expanding AI Risk Management Framework and the EU AI Act's 2 August 2026 third-party accountability deadline show how structured, evidence-based workflows are what actually let AI adoption move faster, safely.

Clear Ownership and Tailored Evidence Accelerate AI Adoption

AI initiatives often stall due to unclear ownership and generic vendor assurances. This article explains why business leaders must own AI risks from the start and demand practical, risk-based evidence from third parties to avoid costly delays.

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