
A field manual for high‑impact AI: governance checklists, stop‑rules, and procurement-ready controls
| Platform | Pricing | Only free issues | Publishes | Weekly | |
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| Issues | 39 | Founded | 8 months ago | Last Issue | 5 days ago |
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The paper is called Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts, and it was produced by researchers affiliated with MIT FutureTech and the MIT AI Risk Initiative....
Made with Nano Banana
Public debate about artificial intelligence often focuses on speed, creativity, and efficiency. But those are not the decisive tests. The more important question is whether an AI system can justify the effects it has...
Made with Nano Banana
When the first papers and warning cases about prompt injection started to appear, the idea seemed almost like science fiction: a technical risk, dangerous yes, but perhaps we assumed that, with enough safeguards, it c...
Made with Nano Banana
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...
Made with Nano Banana
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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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.
Full Professor of Critical AI Literacy in Edinburgh. I write about when to use AI and when to leave it the hell alone. 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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