EvalCards is a composable reporting schema and monitoring tool for AI evaluations, derived from 52 papers and 10 interviews, and applied to 5,816 models and 101,843 results to surface reporting gaps.
STREAM (chembio): A standard for transparently reporting evaluations in AI model reports
3 Pith papers cite this work. Polarity classification is still indexing.
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NeurIPS should enforce a three-tier disclosure framework plus mandatory claim inventories for papers asserting that frontier AI models are safe or ready for release.
A harmonized risk reporting standard for internal frontier AI model use, structured around autonomous misbehavior and insider threats using means, motive, and opportunity factors.
citing papers explorer
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Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting
EvalCards is a composable reporting schema and monitoring tool for AI evaluations, derived from 52 papers and 10 interviews, and applied to 5,816 models and 101,843 results to surface reporting gaps.
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NeurIPS Should Require Reproducibility Standards for Frontier AI Safety Claims
NeurIPS should enforce a three-tier disclosure framework plus mandatory claim inventories for papers asserting that frontier AI models are safe or ready for release.
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Risk Reporting for Developers' Internal AI Model Use
A harmonized risk reporting standard for internal frontier AI model use, structured around autonomous misbehavior and insider threats using means, motive, and opportunity factors.