EleutherAI and OpenMined have demonstrated a new method for third-party AI safety evaluations that allows external researchers to analyze sensitive training data without direct access. Using OpenMined's PySyft library, evaluators can write and test queries on mock data before submitting them for review and execution on the actual private dataset. This approach aims to mitigate risks associated with data privacy and intellectual property while enabling more thorough safety assessments of large language models. AI
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RANK_REASON This is a research paper detailing a new method for AI safety evaluation, not a release from a frontier lab or a significant industry event.
