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America.gov opens its doors, then revises its answers €30bn+EU call for up to seven AI gigafactories Europe’s AI Act: what applies now, and what waits until December 2027 554deepfakes logged in Brazil’s first round; only 371 labelled California signs 13 AI bills, including the “No Robo Bosses Act” 30+AI firms sent the first AI Act information requests Washington and Beijing open an AI incident channel 164AI-made ads in the US midterms, by one count Medicare’s AI pilot: thousands of denials, and an 83-day wait 42signatories to Canada’s voluntary data-centre principles The midterms’ machine-made ads 174MWCape Town data centre now under appeal Pew: global publics trust China more than the US or EU to regulate AI 83 dayswait reported under Medicare’s AI pilot, against a 72-hour standard Indonesia’s AI Rules Are Stuck on the President’s Desk 20home-grown foundation models backed by the IndiaAI Mission Pakistan Writes Rules for the Algorithmic State 2%of Turkish public investment budgets earmarked for AI Cape Town’s Data Centre Fight Puts a Price on AI’s Thirst Turkey Governs AI by Circular, Not Statute ChatGPT Now Answers to Brussels Twice Over Mexico Wants One AI Law. Its States Got There First Washington’s $1 AI Era Is Over. Now Agencies Get the Meter India’s Sovereign AI Bet Meets the Price of Silicon

AI&GPP

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The Evidence

Testing claims about what AI and data actually do for public decisions.

The Decision Gap

Problems rarely arrive unannounced. The real failure of modern government is the distance between when a signal is available and when someone with authority acts on it, and that distance can be measured.

Beyond Dashboards

Governments have never counted more and decided less clearly. A review of 108 dashboard studies, and a stark gap between how officials and residents see public AI, suggest the chart of mentions is the wrong instrument.

Governments Think Their AI Is Transparent. Their Citizens Disagree.

A survey of US state and local government finds officials far more confident about their AI than the residents they serve. Set alongside new Pew and OECD work, it suggests trust in public-sector AI is earned slowly and lost easily.