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What the EU AI Act actually asks of a retrieval system
A retrieval system needs recoverable evidence when its answers inform consequential decisions. Establish the applicable obligations, then preserve the sources, system versions and human actions needed to assess what happened.
Conceptual study · Trace the evidence.
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Recent editions, with sources and limitations made explicit.
Keep forest types visible in parcel summaries
New forest maps distinguish land types that a single parcel label can hide. Preserve the class breakdown, smaller patches and unresolved coverage when turning map outputs into a sourcing review.
Bind a software proof to the release it supports
AI can help construct machine-checked software proofs. Keep each result tied to its binary, entry point and operating assumptions so a later release does not inherit a claim that has not been established for it.
Assess what happens to customers excluded from AI
An AI safeguard can reduce problematic answers while leaving redirected customers without useful support. Assess the alternative route and retain excluded customers in the service outcome record before expanding automation.
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