The Governance Gap: Why AI Policy Lags Behind Deployment
As organisations rush to integrate AI systems, the frameworks meant to guide responsible use struggle to keep pace. This gap creates real risks.
A space for exploring AI governance, trust, and the real-world implications shaping how we work with this technology.
Available for advisory work
AI risk reviews, governance support, and strategic advisory for organisations navigating AI responsibly.
Long-form thinking about AI governance, risk, and the systems that shape our relationship with this technology.
As organisations rush to integrate AI systems, the frameworks meant to guide responsible use struggle to keep pace. This gap creates real risks.
Trust isn't a feature to be added later. It must be built into the architecture of how we develop, deploy, and govern AI systems.
Moving from abstract AI ethics principles to concrete, actionable risk assessments that organisations can actually implement.
How organisations develop frameworks for responsible AI use, from internal policies to regulatory compliance.
Understanding the risks AI systems introduce and building appropriate trust relationships.
Examining how AI actually affects organisations, workers, and communities in practice.
Tracking emerging AI regulations and best practices across jurisdictions and industries.