Ethics, life and AI
Marcela Distefano, AI Governance Lead ⚡A field manual for high‑impact AI: governance checklists, stop‑rules, and procurement-ready controls
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ethicsv1.substack.comLatest Issues
When AI Governance Detects Failure but Does Nothing
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The Alert that Changes Nothing
At first, the system looked healthy.
The dashboard showed a small decline in performance. A few complaints has accumulated. The population using the service has changed but not dra...
How Often Should You Re-Audit the Metric? A Feedback-Loop Checklist for Public and Private AI
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Every quarter, a number decided which customers saw which product recommendations. It worked well -until it didn’t. An e-commerce recommendation engine, trained on pre-2020 shopping behavior, had been driving roughly...
Who Owns the Metric? The Real Accountability Gap in AI Governance
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The last article in this series “From Principles to Protocol: How to Build an AI Stop Rule in 90 Days” sparked a debate that I did not expect, but that I found revealing. Some readers pushed back arguing that organiza...
From Principles to Protocol: How to Build an AI Stop Rule in 90 Days
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Key Takeaways
- The Three Lines of Defense model, borrowed from decades of banking risk management, gives algorithmic governance actual organizational teeth: product teams own the risk, compliance challenges it,...
Algorithmic Governance That Doesn’t Govern: Why the Frameworks Fail Where It Matters Most
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Key Takeaways
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Every major AI governance framework (OECD, G7, UK Playbook) is strong on principles but has no quantitative stop rule.
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Three independent sources converge on the same three failure points: en...
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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.
Stanford certified engineering leader and MBA turned AI Governance Leader. Coffee lover, plant parent and AI enthusiast.
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