AI Performance Auditing
How to Audit AI Systems Beyond Approval and Into Real Operations Most organizations audit AI model approval thoroughly and audit AI model operations barely at all. They verify that …
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How to Audit AI Systems Beyond Approval and Into Real Operations Most organizations audit AI model approval thoroughly and audit AI model operations barely at all. They verify that …
Here’s the Governance Playbook That Actually Holds Up A perfectly validated AI model starts degrading the moment you deploy it. That sentence annoys people. I get it. You want …
Practical Empirical Risk Minimization for Predictive Risk Models Every predictive risk model makes mistakes. The question that determines whether a model is useful isn’t “Does it …
The Post-How to Keep AI Useful, Safe, and Accountable After Launch Most AI projects spend too much energy getting to deployment and not enough planning what happens next. That is a …
How to Use an AI Project KPI and Metrics That Actually Improves Delivery Most AI projects do not fail because the model is weak. They fail because nobody agrees on what success …
What Article 27 Actually Requires The EU AI Act Article 27 requires deployers of high-risk AI systems to conduct a fundamental rights impact assessment before putting the system …
Playbook for Building an AI Red Team Three months after deploying a customer-facing language model, a financial services firm I advise discovered that a determined user could …
Tips for an AI Legal Compliance Audit Program I. AI Governance and Oversight Every AI compliance audit starts here. Without governance structure, every other audit area produces …
AI Management Systems: Operational Playbook for Chief AI Officers and Compliance Risk Managers By Hernan Huwyler Artificial intelligence is no longer a side experiment owned by …
How to Choose the Right Model and Prove It Works Every machine learning model fails in one of two ways. It memorizes the training data so thoroughly that it can’t handle new …