descriptive claim
Under FSF v3, DeepMind extends its pre-launch safety case review process to cover large-scale internal deployments of models at advanced ML R&D CCLs, not only external launches.
desc_fsf_v3_internal_deployment_safety_case
confidence 0.85
Evidence (1)
supports (1)
- Strengthening our Frontier Safety Framework primary_testimonyweight0.90
locator: Section: Adapting our approach to misalignment risks
βFor advanced machine learning research and development CCLs, large-scale internal deployments can also pose risk, so we are now expanding this approach to include such deployments.β