AI auditing.
An auditor’s perspective on AI systems that already influence real decisions.
A way of looking.
This is how I read artificial intelligence when it touches real decisions. The full treatment, with tools and a dossier, is on the AI page.
Entries in the corpus.
The speed of AI and the pace of governance
AI systems can change more frequently than the bodies that govern them. Between one review and the next, the inventory, the model or its context of use may have changed. Governing AI requires accountable people, traceability and review triggers between meetings.
OpenAI under the microscope · ISO 42001, 27001 and 9001 documentary audit
Desk audit of public evidence as of 26 April 2026: strong support for ISO/IEC 27001 within a limited scope, medium-high support for ISO/IEC 42001 without a verifiable external certificate, low support for ISO 9001. The controls exist; traceability between standard, certificate, legal entity, dates and covered services is scattered across sources that do not speak the same language.
The Latin American AI paradox · adoption without critical mass
Latin America accounts for 14% of global visits to generative AI solutions and ranks third worldwide in app downloads. It attracts 1,12% of global AI investment. ILIA 2025 calls that gap a paradox; the operational description is more uncomfortable: the region uses at scale a technology in whose funding, governance and training it plays only a marginal part.
Do you have a case that can be read through this criterion?
If this topic intersects with your work — a decision, a source, a question — write to me and tell me the context.