Compliance Cards: Computational Artifacts for Automated AI Regulation Compliance

The paper introduces Compliance Cards (CC), a system that enhances AI regulation compliance under the EU Artificial Intelligence Act. CC consists of computational metadata artifacts (Initiative, Data, and Model CC) that capture details about AI projects, datasets, and models. These structured formats, designed for real-time compliance checks, can be populated manually or automatically, and are compatible with platforms like Hugging Face. The Automated Analysis Algorithm (AAA) analyzes this metadata to predict compliance levels in scenarios such as rapid development, search, federated learning, and continuous learning. CCCs ensure transparency and accountability by enabling AI developers, dataset creators, and market surveillance authorities to evaluate compliance using the AAA, based on the metadata stored in these cards. The system aims to streamline compliance assessment in the face of evolving AI regulations.