Meta’s chief global affairs officer, Joel Kaplan, said on July 18 that the U.S. tech giant will not sign the EU’s new voluntary code of practice for general-purpose artificial intelligence (AI), citing legal uncertainties and measures that go beyond the scope of Europe’s main AI law.
“Europe is heading down the wrong path on AI,” Kaplan said. “We have carefully reviewed the European Commission’s Code of Practice for general-purpose AI models and Meta won’t be signing it. This Code introduces a number of legal uncertainties for model developers, as well as measures which go far beyond the scope of the AI Act.”
The EU’s AI Act creates one system for all EU countries, dividing AI into four risk levels: unacceptable, high, limited, and minimal. High-risk systems, like those in critical infrastructure or hiring, face strict requirements, including safety checks and documentation.
It covers the regulation of large language models and foundation models such as Meta’s Llama, OpenAI’s GPT-4, Google DeepMind’s Gemini, and Anthropic’s Claude.
Responding to Kaplan’s comments, MEP Sergey Lagodinsky, Green party co-rapporteur for the AI Act, said the GPAI final text had been written with providers in mind.
Businesses Voice Concerns
The release of the GPAI Code was delayed several times before the European Commission published the final version on July 10.Kaplan pointed to industry uncertainty over the EU’s AI regulation, citing concerns by 44 of Europe’s largest companies, including Bosch, Siemens, SAP, Lufthansa, Airbus, and BNP.
The group said the AI Act, set to impose new obligations on both high-risk AI systems and general-purpose AI models starting in 2025 and 2026, could stifle innovation if implemented too quickly.
New Guidelines
Meta’s announcement came on the same day the European Commission published new guidelines explaining what general-purpose AI companies must do to comply with the EU’s AI Act.The guidelines list several key requirements, including writing clear technical documentation, explaining what data was used to train the models, setting copyright policies, and protecting AI systems from misuse or hacking.
For the most advanced AI models that could pose risks to public safety, human rights, or society, developers will also need to run safety tests, reduce potential harms, and report serious incidents to EU regulators.
Officials said this approach is designed to enable most developers to build on existing models without facing excessive regulation.







