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The same classification algorithm can be high-risk in one context (credit scoring) and not high-risk in another (e-commerce product recommendation)."}],["$","h2","block-4",{"className":"mt-12 text-[26px] font-medium leading-[1.2] tracking-[-0.025em] text-v41-ink sm:text-[28px]","children":"The seven key obligations of articles 8-15"}],["$","h3","block-5",{"className":"mt-8 text-[19px] font-medium leading-[1.3] tracking-[-0.015em] text-v41-ink","children":"Risk management system (art. 9)"}],["$","p","block-6",{"className":"mt-5 text-[17px] leading-[1.65] text-v41-ink first:mt-0","children":"Identification, analysis and continuous mitigation of risks associated with each high-risk AI. The system must be documented, updated at every major evolution, and tested. 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For a SaaS training its models on customer data, this requires governance distinguishing production data from training data, with explicit procedures."}],["$","h3","block-9",{"className":"mt-8 text-[19px] font-medium leading-[1.3] tracking-[-0.015em] text-v41-ink","children":"Technical documentation (art. 11)"}],["$","p","block-10",{"className":"mt-5 text-[17px] leading-[1.65] text-v41-ink first:mt-0","children":"A complete technical file per high-risk AI system, with: system description, purpose, training method, performance, known limitations, mitigation measures, evaluation procedures. The format follows Annex IV of the regulation, about 30-50 pages of documentation per AI system."}],["$","h3","block-11",{"className":"mt-8 text-[19px] font-medium leading-[1.3] tracking-[-0.015em] text-v41-ink","children":"Log retention (art. 12)"}],["$","p","block-12",{"className":"mt-5 text-[17px] leading-[1.65] text-v41-ink first:mt-0","children":"High-risk AI systems must automatically retain logs of operations they perform, for at least 6 months (unless national law provides otherwise). 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If one of these customers uses the feature in a high-risk case, the vendor can find itself non-compliant without even knowing."}]]}],["$","h2","block-20",{"className":"mt-12 text-[26px] font-medium leading-[1.2] tracking-[-0.025em] text-v41-ink sm:text-[28px]","children":"Three practices that structure forward-looking vendors"}],["$","h3","block-21",{"className":"mt-8 text-[19px] font-medium leading-[1.3] tracking-[-0.015em] text-v41-ink","children":"The internal AI register"}],["$","p","block-22",{"className":"mt-5 text-[17px] leading-[1.65] text-v41-ink first:mt-0","children":"Living inventory of AI systems deployed in the product: model, purpose, training dataset, test dataset, performance, high-risk classification or not. Every new AI feature goes through a review (\"AI Council\") before deployment. 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