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One training day versus a programme that stays current
A one-off training is not a mistake. It creates shared vocabulary, it gets the topic on the agenda, and for a while it genuinely covers you. The catch is not quality but time: the material was true on the day it was given, and the law kept moving after that.
None of this is an argument we invented: it is three dated changes, and any training given before them teaches at least one outdated position today. The full log, with the content each change sent back for review, is public.
See the evidence logTake the slides or the module from your last AI training and check three things: does it describe Article 4 as a duty to guarantee a literacy level, does it treat Article 50 as upcoming, and does it date high-risk obligations to August 2026? Each yes means people are still being onboarded with material the law has left behind.
AI Act evidence routes
Focused pages per question: from mandatory Article 4 literacy and training records to sector evidence and an audit-ready dossier.
Classroom AI training or e-learning for Article 4? Compare reach, evidence and depth, and see why a hybrid model usually works best for AI literacy.
View routeA standalone AI course is not Article 4 evidence. See the difference with a role-based program that links training to role, risk, and demonstrable evidence.
View routeDocument completion, scores, validity, refresh cadence, and management evidence.
View routeThe evidence chain from role and use case to scenario practice, scores, certificates, and reporting.
View route