Category: Governance
AI governance frameworks, oversight models, accountability structures, and organisational control over AI use
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When your AI provider gets blacklisted in one country and courted by another, governance teams face a new risk category: AI provider jurisdiction risk.
The Australia-Anthropic MoU signals a new regulatory pattern: governments negotiating direct access to AI usage data. EU governance teams should prepare now.
Starling Bank's AI moves money. Norway's sovereign wealth fund keeps humans in charge. Both are deploying agentic AI but with very different governance choices. Here is what changes when AI starts acting, not just recommending, and what your oversight framework must address.
The EU’s antitrust chief has put every layer of the AI stack under scrutiny. For organisations using major platforms, that scrutiny is now a vendor risk input; one that most governance programmes have not yet mapped. Here are three practical steps to close that gap.
The EU sovereign cloud label has no agreed legal definition. Before trusting a vendor’s sovereignty claim, practitioners should demand written answers to three questions about ownership, jurisdiction and certification.
Three major research studies from early 2026 agree: AI workforce productivity does not improve because employees work less. It suffers because they work more. Here is what the data shows, why it happens, and what SME leaders should do differently.