The organisation shall determine at which phases of the AI system life cycle, record keeping of event logs should be enabled, but at the minimum when the AI system is in use. This control is essential for maintaining governance and ensuring that AI systems are managed responsibly. It should be applied consistently across all relevant organisational processes and reviewed periodically to remain effective.
Business Requirement The purpose of this control is to safeguard organisational integrity, compliance with legal and regulatory requirements, and to promote trustworthiness in AI systems. It ensures that risks are mitigated and that the organisation’s objectives for responsible AI use are achieved.
The organisation shall ensure logging for AI systems it deploys to automatically collect and record event logs related to certain events that occur during operation. Such logging can include but is not limited to: — traceability of the AI system’s functionality to ensure that the AI system is operating as intended; — detection of the AI system’s performance outside of the AI system’s intended operating conditions that can result in undesirable performance on production data or impacts to relevant interested parties through monitoring of the operation of the AI system. AI system event logs can include information, such as the time and date each time the AI system is used, the production data on which the AI system operates on, the outputs that fall out of the range of the intended operation of the AI system, etc. Event logs should be kept for as long as required for the intended use of the AI system and within the data retention policies of the organisation. Legal requirements related to data retention can apply. Organisations should implement this control by establishing clear procedures, assigning responsibilities, and maintaining accurate documentation. Practical steps include integrating this control into existing governance frameworks, training relevant personnel, and monitoring compliance through regular audits.
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