CHAPTER III

Article 12: Record-keeping

Plain English Summary

What this article does: Requires high-risk AI systems to have automatic logging capabilities to ensure traceability. Who it applies to: Providers of high-risk AI systems. Key requirements: Para 1: High-risk AI systems must be designed to automatically record events ('logs') while the system is operating, to the extent appropriate to the intended purpose. Para 2: Logging must enable monitoring of the system's operation and facilitate post-market monitoring. Must include recording of periods of use, reference database used, input data for which the search led to a match, and identification of the natural persons involved in verifying the results.

1. High-risk AI systems shall technically allow for the automatic recording of events (logs) over the lifetime of the system.

2. In order to ensure a level of traceability of the functioning of a high-risk AI system that is appropriate to the intended purpose of the system, logging capabilities shall enable the recording of events relevant for: (a) identifying situations that may result in the high-risk AI system presenting a risk within the meaning of (1) or in a substantial modification; (b) facilitating the post-market monitoring referred to in ; and (c) monitoring the operation of high-risk AI systems referred to in (5).

3. For high-risk AI systems referred to in point 1 (a), of Annex III, the logging capabilities shall provide, at a minimum: (a) recording of the period of each use of the system (start date and time and end date and time of each use); (b) the reference database against which input data has been checked by the system; (c) the input data for which the search has led to a match; (d) the identification of the natural persons involved in the verification of the results, as referred to in (5).

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