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Mapping Industry Practices to the EU AI Act's GPAI Code of Practice Safety and Security Measures

Computers and Society 2025-07-24 v2 Artificial Intelligence

Abstract

This report provides a detailed comparison between the Safety and Security measures proposed in the EU AI Act's General-Purpose AI (GPAI) Code of Practice (Third Draft) and the current commitments and practices voluntarily adopted by leading AI companies. As the EU moves toward enforcing binding obligations for GPAI model providers, the Code of Practice will be key for bridging legal requirements with concrete technical commitments. Our analysis focuses on the draft's Safety and Security section (Commitments II.1-II.16), documenting excerpts from current public-facing documents that are relevant to each individual measure. We systematically reviewed different document types, such as companies' frontier safety frameworks and model cards, from over a dozen companies, including OpenAI, Anthropic, Google DeepMind, Microsoft, Meta, Amazon, and others. This report is not meant to be an indication of legal compliance, nor does it take any prescriptive viewpoint about the Code of Practice or companies' policies. Instead, it aims to inform the ongoing dialogue between regulators and General-Purpose AI model providers by surfacing evidence of industry precedent for various measures. Nonetheless, we were able to find relevant quotes from at least 5 companies' documents for the majority of the measures in Commitments II.1-II.16.

Keywords

Cite

@article{arxiv.2504.15181,
  title  = {Mapping Industry Practices to the EU AI Act's GPAI Code of Practice Safety and Security Measures},
  author = {Lily Stelling and Mick Yang and Rokas Gipiškis and Leon Staufer and Ze Shen Chin and Siméon Campos and Ariel Gil and Michael Chen},
  journal= {arXiv preprint arXiv:2504.15181},
  year   = {2025}
}

Comments

166 pages, the Oxford Martin AI Governance Initiative