Working as Intended
Alignment, efficiency, legitimacy, administration and design can each certify the same system.
Essays about automation, prediction, legitimacy, and who gets made to absorb the cost of technical systems. 17 essays in this theme.
Essays about automation, prediction, legitimacy, and who gets made to absorb the cost of technical systems.
17 essays · the pattern that runs through most of them is Conditional authority
Start with Aligned With Whom?
Alignment, efficiency, legitimacy, administration and design can each certify the same system.
An AI that does exactly what its owner wants still doesn’t explain why it holds authority over you, or how you correct it when it’s wrong.
Clicking the final button isn’t control once the model has learned how you think.
Transparency, participation, and better categories present as democratization.
When institutions treat every user as an adversary, compliance becomes evasion.
Amazon's cancellation maze worked because people get tired.
Oversight that performs responsibility without the power to force a sacrifice.
A police department’s scoring tool decides who is “worth attention” by a definition the vendor keeps secret.
A model that denies a loan is enforcing a rule about who counts as risky, whatever the vendor says about discovering it.
In journalism, science, and law, we know that a single, smooth answer is dangerous.
Papal decrees, slave-voyage insurance, redlining and algorithmic tenant screening: each time one method was banned, the business found another.
AI won’t rescue us from our own willingness to discard people. It just magnifies it.
Insurers, benefit managers and hospital chains present AI as an efficiency gain and use it to cut costs, consolidate markets and discipline clinical labor.
Workplaces, wards and governments that choose control over trust lose the ability to adapt, and break when conditions change.
AI systems now decide whose behavior reads as normal.
Audits and explanation tools have become an industry.
The apocalypse debate looks at the horizon.
No prior versions in this archive snapshot.
Each version says how much changed from the one before it: wording (under 5% of the words), a revision, or a rewrite (more than a third). The measure counts words that moved; whether a claim changed takes reading.
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