
A field manual for high‑impact AI: governance checklists, stop‑rules, and procurement-ready controls
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 36 | Founded | 7 months ago | Last Issue | 4 days ago |
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Last week’s essay made the case against automated government without due process. Robodebt showed what happens when a public system can produce decisions at scale but cannot explain them, review them meaningfully, or...
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Imagine receiving an official government letter demanding you pay thousands of dollars in debt you didn’t know you had. No explanation of how it was calculated, no breakdown of charges. Just a number and a payment dem...
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Brazil’s Receita Federal showed that AI in tax administration can detect fraud at scale. Their Analytics Project (2024) analyzed millions of tax returns, mapped evasion networks including shell companies and undeclare...
There’s a scene that repeats every time an organization puts AI into production: at first, everything seems under control. The system responds fast, organizes data, helps make decisions, and on paper, promises more efficiency. Then the deta...
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In a previous post, we introduced Systems Thinking as the missing user manual for AI, the discipline that asks not just “does this work?” but “what does this change across the whole system?” Read it here:
Today...
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The writers behind this newsletter.
Accountant, data scientist and book freak. I like talking about ethics in tech and in life.
I help independent entrepreneurs transform psychological fear into freedom. Through 15 years of building communities and running Fear & Fail events across 5 countries, I support people on their fearless path.
Who am I? The Best Writer Alive \ud83d\udca5 I’m Jessica—a nurse practitioner turned trader and multi-publication Substack builder helping creators launch correctly from day one.
Professor & poet in Edinburgh. Creator of the Slow AI Curriculum for Critical AI Literacy. Author of GenAI in Higher Education (Bloomsbury, 2026).
Stanford certified engineering leader and MBA turned AI Governance Leader. Coffee lover, plant parent and AI enthusiast.
I make sense of AI and tech for the people doing the work — PMs, investors, operators, and builders. Ex-quant trader. I care about what works in production, not what sounds good in a pitch deck.
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