The implementation of the AI Act requires practical mechanisms to verify compliance with legal obligations, yet concrete and operational mappings from high-level requirements to verifiable assessment activities remain limited, contributing to uneven readiness across Member States. This paper presents a structured mapping that translates high-level AI Act requirements into concrete, implementable verification activities applicable across the AI lifecycle. The mapping is derived through a systematic process in which legal requirements are decomposed into operational sub-requirements and grounded in authoritative standards and recognised practices. From this basis, verification activities are identified and characterised along two dimensions: the type of verification performed and the lifecycle target to which it applies. By making explicit the link between regulatory intent and technical and organisational assurance practices, the proposed mapping reduces interpretive uncertainty and provides a reusable reference for consistent, technology-agnostic compliance verification under the AI Act.

翻译：《人工智能法案》的实施需要建立实际机制来验证合规性，然而从高层次要求到可验证评估活动的具体、可操作映射仍显不足，这导致各成员国准备水平参差不齐。本文提出一种结构化映射方法，将《人工智能法案》的高层要求转化为贯穿人工智能全生命周期的具体、可落地的验证活动。该映射通过系统化流程推导，首先将法律要求分解为可操作的子要求，并基于权威标准和公认实践进行验证。在此基础上，验证活动被识别并沿两个维度进行特征化：执行的验证类型及其适用的生命周期目标。通过明确监管意图与技术及组织保障实践之间的关联，所提出的映射减少了解释不确定性，并为《人工智能法案》下技术中立的合规验证提供了可重复使用的参考基准。