#risk-management
Naming the risks AI introduces, and governing them proportionately.
Tagged articles (7)
Nothing Has to Leave the Building: The AI Risk That Is Not a Data Breach
Frontier AI may pass an organisation's know-how to a model its competitors can buy. A Board governs that by deciding which work goes in.
The AI Sovereignty Trilemma: When a Frontier Model Vanishes and Reality Bites
The visible cost of sovereignty deters Boards. The hidden cost of the convenient alternative was never shown, and that is the cost 12 June presented.
The Reasoning Gap: The Capability the Law Now Demands of Boards
UK law now requires four safeguards for solely automated decisions. Most Boards have approved probabilistic systems that cannot deliver them in operation.
After the AI Amnesty: Practical Steps to Operationalise Discovered Shadow AI
After the amnesty, speed matters: employees who disclosed expect enablement, not restriction. A roadmap for turning discovered shadow AI into governed capability.
Shadow AI and the Case for an AI Amnesty
Shadow AI is surging and most employees would use AI tools without permission. An AI amnesty turns that hidden risk into governed, employee-validated innovation.
AI is transforming governance: Six key Boardroom priorities
AI takes Boards from overseeing hundreds of decisions a day to millions a second, each needing to be transparent, explainable and correct: six priorities follow.
Selecting your enterprise LLM: Moving beyond the hype to make the right choice
With well over a hundred language models available, choosing one is a question of fit, not headlines: match the model to the task.
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