Building AI in Government
A structured reading of all 133 records on the government’s Algorithmic Transparency Recording Standard — what the public sector is really building with AI, and what it takes to move from pilot to scale.
Articles
Beyond Redbox: the AI tools all policy makers should know about
Beyond the government’s own AI tools lies a whole field of others. The trick is finding them, and telling the good from the extractive.
Location, Location, Location: Does the CDO reporting line matter?
There’s no perfect place for a Chief Data Office to sit. The real work is building the mandate, sponsorship and evidence of value that let data leadership make change happen wherever it reports…
What AI and F1 have in common, and other lessons from the front line of AI strategy
Everyone’s being told to get an AI strategy. But buying the tools is the easy part — the value is in the four foundations underneath.
The quiet art of data diplomacy
Most stuck data shares aren’t blocked by the law — they’re waiting for someone to broker a way through.
The Trust Ceiling: what government is getting wrong about AI adoption
Government keeps treating AI adoption as a technology problem. The real ceiling is public trust — and here’s what the data shows.
Four types of data strategy that work in the public sector
Generic, private-sector data strategies don’t land in government. Here are four types of data strategy that actually work in the public sector.