Let's Talk Data. / Public Sector Data Challenges

Responsible AI for Civic Teams: Your Questions, Your Standards

When I talk with local government and nonprofit partners, the question I keep hearing isn't whether to use AI. It's: how do we know we can trust it?

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The First Draft Doesn't Have to Be Perfect

In 2020, I was on the communications team for the COVID-19 response at the Colorado Department of Public Health and Environment. Our data teams were building charts and visualizations on critical COVID data, sometimes hours or just minutes before the Governor's press conferences. The …

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Why Public-Sector AI Must Show Its Work

In a recent post, we explored why AI hallucinations are a governance problem, not just a technical flaw. The real risk isn't that AI makes mistakes. It's that those mistakes can slip into public decisions.

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Why AI Hallucinations Are a Governance Problem, Not a Tech Problem

If you work in public sector, you’ve likely heard a version of this by now: AI makes things up. AI hallucinates. AI can’t be trusted.

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How Can Public and Nonprofit Teams Overcome the Data Capacity Crisis?

Data work is still too hard, too manual, and too disconnected from action. That's the data capacity crisis—and in 2026, we're done just talking about it. Whether it’s a planning department juggling strategy or reporting requests or a local nonprofit trying to tell a better story with …

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