No. 452
Knowing When to Stop
This week is about what we hand over to machines, and who’s deciding when they should stop.
Digitally Literate
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There are always two versions of a protection. The one written down and the one people live with.
The White House answered last week's question about who can tell whether AI is safe. Its answer is the companies themselves.
The debate about AI keeps asking whether these systems are dangerous. This week asks whether anyone is still in a position to know.
Expanded edition on Coxon's warning, the Hugging Face incident, and how public attention can lead to meaningful AI oversight.
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A 2026 cybersecurity evaluation crossed into real infrastructure, showing how an AI system's objective, permissions, and oversight can fail together.
People gain meaningful leverage over AI by asking who decides, what a system can do, what evidence supports its use, and how its power can be challenged.