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The Person at the Point of Consequence
As AI takes on more of the work in healthcare, the question is not whether humans stay involved. It is where human judgment matters most.
Oct 6
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A.I.N.S.T.E.I.N.
September 2026
Thirty-Seven Thousand of What?
In one week in September, a Stanford lab set an army of agents on 55,984 clinical trials and Anthropic’s chief executive asked the industry to slow…
Sep 22
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Nobody Asked Who Was Watching
Human oversight is the control almost every AI safeguard rests on. The evidence that it works is thinner than the claims made for it.
Sep 15
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A.I.N.S.T.E.I.N.
The 30% Nobody Can Explain
A company says AI improved productivity by 30%. The number may be accurate. That does not yet tell us what happened.
Sep 2
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August 2026
The Company That Looked Harder Found More Problems
In 1918, one country reported an outbreak more openly than the others, and the name still carries the consequence a century later. Coverage should be…
Aug 25
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We are measuring more AI. Are we measuring what matters?
What Databricks' experience with its own coding agents reveals about the next measurement problem in enterprise AI
Aug 18
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The Marble and the Statute
Colorado repealed its AI law before it ever took effect. What the law was written to measure did not move at all.
Aug 11
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The Leaderboard and the Meter
What happens when the only number an organization can see is the one on the invoice.
Aug 4
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July 2026
The Quiet Bird
A gauge with no one watching it is a bird in a cage on an empty hook.
Jul 28
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Two Towns and One Bridge
A true number is not the same as a safe one, and the difference is a person standing in the gap between them
Jul 21
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The Jeweller Who Gave You a Number
Trust is not the same quantity as accuracy, and a great deal of harm lives in the gap between them.
Jul 15
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A.I.N.S.T.E.I.N.
Measuring What Matters: When the "What" Is Trust
We measure everything our AI does. We rarely measure whether anyone trusts it. A researcher's look at why that gap exists, and what it would take to…
Jul 7
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A.I.N.S.T.E.I.N.
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