Insights

Notes from the practice

What we are learning about building, validating, and governing AI in regulated environments — written for practitioners, not press releases.

Model RiskMay 12, 20267 min read

Why good models fail validation (and what to do about it)

Most models that stall in validation are not badly built. They are badly evidenced. Here is where the gaps actually come from.

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AI GovernanceMarch 30, 20266 min read

Human oversight of AI: designing review that is more than a checkbox

Regulators increasingly require human oversight of consequential AI decisions. Most implementations satisfy the letter of that requirement and none of its intent.

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Applied MLFebruary 17, 20268 min read

The case for boring models: interpretability as a strategic choice

In regulated settings, a slightly less accurate model you can fully explain often beats a black box you cannot. The arithmetic is less obvious than it sounds.

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