NeurIPS Should Require Reproducibility Standards for Frontier AI Safety Claims
Frontier AI safety claims - published assertions that a highly capable general-purpose model is below a threshold of concern, adequately mitigated, or suitable for release - increasingly shape model deployment, governance, and public trust. Yet the artefacts needed to evaluate them are routinely withheld, producing an evidential inversion: the most consequential claims in AI safety are often the least reproducible. This position paper argues that NeurIPS should require reproducibility standards for papers making such claims, treating non-reproducibility not as a transparency preference but as an evaluation-methodology failure. The 2026 International AI Safety Report [Bengio et al., 2026] ...
| Authors | Varad Vishwarupe, Nigel Shadbolt, Marina Jirotka et al. |
|---|---|
| Primary category | cs.CY |
| Published | 5 May 2026 |
| Last updated at source | 5 May 2026 |
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