1 research outputs found
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development
Despite large progress in Explainable and Safe AI, practitioners suffer from
a lack of regulation and standards for AI safety. In this work we merge recent
regulation efforts by the European Union and first proposals for AI guidelines
with recent trends in research: data and model cards. We propose the use of
standardized cards to document AI applications throughout the development
process. Our main contribution is the introduction of use-case and operation
cards, along with updates for data and model cards to cope with regulatory
requirements. We reference both recent research as well as the source of the
regulation in our cards and provide references to additional support material
and toolboxes whenever possible. The goal is to design cards that help
practitioners develop safe AI systems throughout the development process, while
enabling efficient third-party auditing of AI applications, being easy to
understand, and building trust in the system. Our work incorporates insights
from interviews with certification experts as well as developers and
individuals working with the developed AI applications.Comment: 54 pages, 1 figure, to be submitte