Ethics, life and AI
Marcela DistefanoA field manual for high‑impact AI: governance checklists, stop‑rules, and procurement-ready controls
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 55 | Founded | a year ago | Last Issue | 2 days ago |
| Active | |||||
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ethicsv1.substack.comLatest Issues
Klarna’s U-Turn Wasn’t about AI. It was about Choosing the Wrong Metric.
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Key takeaways
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Klarna’s “700 agents” figure was a workload equivalence, not a count of people laid off. Klarna itself told it had “not made any cuts as a consequence of launching this AI assistant.”
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Th...
The State Cannot Outsource Suspicion
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In 2006, the UK Post Office and Fujitsu had a contractual arrangement for fixing errors in Horizon, the IT system that ran branch accounts. Fujitsu was to correct transaction errors caused by software bugs, or pay the...
Cleared Is Not Corrected: How False Flags Follow People Through Public Systems
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How a comment from made me think about this problem.
A person is flagged by a public-sector risk system.
The agency opens an investigation. It asks for documents. It delays a payment, requires explanations, or move...
A Risk Score Is Not Evidence. So Why Does It Start an Investigation?
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A welfare agency tells the public that its algorithm does not decide who loses benefits.
It only helps staff decide where to look.
That sounds reassuring. It should not.
Being selected for scrutiny is not a neutral...
A Court Stopped One Suspicion Machine. Two Others Are Still Running
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Every month, a French welfare agency runs more than 32 million people through an algorithm. The system calculates over 13 million risk scores, deciding who looks suspicious enough to warrant a closer look.
No one has...
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Authors
The writers behind this newsletter.
Accountant, data scientist and book freak. I like talking about ethics in tech and in life.
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