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Despite large progress in Explainable and Safe AI, practitioners suffer froma lack of regulation and standards for AI safety. In this work we merge recentregulation efforts by the European Union and first proposals for AI guidelineswith recent trends in research: data and model cards. We propose the use ofstandardized cards to document AI applications throughout the developmentprocess. Our main contribution is the introduction of use-case and operationcards, along with updates for data and model cards to cope with regulatoryrequirements. We reference both recent research as well as the source of theregulation in our cards and provide references to additional support materialand toolboxes whenever possible. The goal is to design cards that helppractitioners develop safe AI systems throughout the development process, whileenabling efficient third-party auditing of AI applications, being easy tounderstand, and building trust in the system. Our work incorporates insightsfrom interviews with certification experts as well as developers andindividuals working with the developed AI applications.

Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development