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Essays & Notes

Why AI agent governance requires interpretive evidence
by José López López
February 7, 2026
The shift of risk into the interpretive layer The most consequential decisions made by autonomous systems no longer occur at the visible moment of execution. By the time an action becomes observable, accountable, or auditable, ... Read more
AI semantic interpretation risk for regulated companies
by José López López
February 5, 2026
How AI changes the meaning of compliance and risk documentation AI systems have become the primary interpretive layer through which organizations are understood. Long before a customer reads a product page, a regulator reviews a ... Read more
The case for an AI interpretive due diligence layer
by José López López
February 3, 2026
The failure that wasn’t about technology There are failures that reveal the limits of technology, and there are failures that reveal the limits of governance. The Monext incident in January 2026 belongs firmly to the ... Read more
Decisors: Why Semantic Integrity in AI Matters
by José López López
January 16, 2026
The hidden risk of meaning loss in AI agent systems — and how to govern it When your organization deploys AI agent chains to automate procurement, execute financial workflows, or manage operational decisions, you assume ... Read more
Google Discover: When Visibility No Longer Means Traffic
by José López López
January 13, 2026
For years, digital distribution platforms were evaluated through a simple lens: visibility led to clicks, clicks led to value. That assumption no longer holds. Recent empirical evidence shows that Google Discover is undergoing a structural ... Read more
Who evaluates the evaluators?
by José López López
December 28, 2025
Artificial intelligence is being evaluated more than ever. Benchmarks multiply, audits proliferate, impact assessments become mandatory, and entire regulatory architectures are built around the idea that sufficiently rigorous evaluation will keep systems under control. Yet ... Read more
Mapping Risk Without Measurement
by José López López
December 27, 2025
The recent MIT report Mapping AI Risk Mitigations is an important document, not because it resolves the current uncertainty around AI governance, but because it makes that uncertainty explicit. The report does not introduce a ... Read more
When interpretation stops being optional
by José López López
December 23, 2025
When Interpretation Stops Being Optional There are moments in the evolution of technical systems when interpretation ceases to be a matter of preference and becomes a structural necessity. Not because regulation demands it, nor because ... Read more
Order Matters: The Missing Framework
by José López López
December 20, 2025
A certain sentence has begun to circulate with the confidence of a proverb, particularly in legal and policy circles trying to tame the AI moment: without rules, there is no framework; without a framework, there ... Read more

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