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Essays on AI governance, operational risk, and the systems that shape decisions.
19 essays
A Decision That Changed the Conversation Around AI In late February 2026, the artificial-intelligence industry reached a moment that may define its future. Two leading AI companies received…
How two frontier AI labs are running radically different governance experiments Artificial intelligence is often framed as a race for capability. But beneath the technical race lies a…
If one of your AI systems made a materially flawed decision tomorrow, would you know immediately who is accountable, whether it was actively monitored, what risk threshold was…
AI governance is no longer theoretical. Over the past 12–18 months, several high-profile developments have demonstrated that governance maturity is not measured by policy statements — it is…
Artificial intelligence is rapidly moving from experimentation to production. Organizations are deploying AI systems to automate decisions, optimize operations, and enhance customer experiences. However, many organizations scale AI…
As artificial intelligence becomes increasingly embedded into business operations, organizations face a fundamental governance question that many are not fully prepared to answer: Who owns AI risk? This…
Last night’s disruption in Amazon’s cloud services was a reminder of something many organizations underestimate: modern digital infrastructure is not just powered by software—it is increasingly powered by…
Artificial Intelligence governance is often misunderstood as simply an extension of existing Model Risk Management (MRM) frameworks. Many organizations assume that their current model risk controls—originally designed for…
Artificial Intelligence is moving into production environments faster than most organizations can govern it. Over the past few years, AI has shifted from experimentation to becoming embedded in…