Writings
Writings on AI, data, and the organizational realities behind success and failure.
The AI System Nobody Is Allowed to Turn Off
AI systems can become difficult to reverse without anyone deciding to make them permanent. As workflows, skills, and procedures reorganize around a system, the fallback process can quietly disappear.
Optimized, Not Improved
AI does not need to confuse an organization about what it wants to improve. It only needs to make the measurable proxy cheap enough to optimize that the proxy becomes the target.
Who Owns the Workflow?
AI can leave accountability with the person making the final decision while moving control upstream into models, thresholds, interfaces, and governance. The question is who actually owns the workflow when those no longer align.
Where the System Ends and Judgment Begins
Clinical AI pushes uncertainty to the edge, where someone has to decide whether the system's answer applies. The question becomes whether the organization has decided who may disagree, what that disagreement means, and what happens afterward.
The Scarcity Upstream of the Answer
As AI makes answers cheap, from a recalculated ratio to a diagnostic score, the scarce work does not disappear. It moves upstream: from accepting the number, to choosing what it should optimize, to remembering why the threshold was set.