How category errors in AI research lead to regulatory failure
The most consequential errors in AI discourse are not the obvious ones. They are the ones that survive peer review, get cited in
The coverage of Claude Mythos followed a familiar pattern. Initial alarm about offensive capability followed by security community response followed by company mitigation and marketing, followed by a rapid news cycle. Then attention
There is a confusion running through AI governance discourse that rarely gets named directly, possibly because naming it implicates most of the frameworks currently in use.
The confusion is about what kind of
Governing AI in Schools: the Developmental Stakes
The debate about screens in schools is being conducted almost entirely from outcomes. Test scores, engagement metrics, effect sizes, procurement accountability: these matter, but they are
Online harm taxonomies, the categorizations of what digital platforms and AI systems do to people, are having a political moment. The Biden administration built them into federal AI governance. The Trump administration is