Google DeepMind Pilots Double-Blind AI Evaluations in Hardware-Isolated Cryptographic Enclaves
Google DeepMind has introduced a framework for conducting double-blind evaluations of proprietary frontier AI models within cryptographically isolated computing environments. The initiative, developed in partnership with the Singapore AI Safety Institute, OpenMined, AVERI, and MLCommons, aims to resolve the tension between protecting benchmark datasets from contamination and safeguarding proprietary model weights. In traditional third-party model evaluations, organizations face an unavoidable c



















