A coalition of researchers calls on AI developers to transparently share safety methods, evaluations, and data with the global scientific community to enable independent scrutiny and advance AI safety research. Transparency should include safety-relevant details about frontier models while allowing exceptions for genuine security risks.
A coalition of researchers calls for frontier AI model developers to share safety methods, evaluations, and related data with the global scientific community to enable independent scrutiny and accelerate AI safety research. Transparency about safety measures would facilitate both assessment and improvement of AI systems while allowing proportionate exceptions for genuine security risks.
Proton is integrating Apertus 1.5, an open-source AI model developed by Swiss research institutions, into its privacy-focused Lumo platform. The partnership enables researchers to gather real-world user feedback at scale, helping the European model compete with US and Chinese alternatives while maintaining transparency and user privacy through zero-access encryption.