Double-Blind AI評価のパイロット実施

Double-blind evaluations eliminate this compromise. By using Confidential Space within Google Cloud’s Confidential Computing portfolio, we can cryptographically verify that both the external evaluation data and the proprietary model remain private to their respective owners.

Today, we’re introducing the world’s first double-blind evaluation of a proprietary, frontier class AI model, which keeps external evaluations confined to a cryptographic “box” where they can’t be used by models later to optimize performance ahead of testing. We're partnering wi…