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Responsible Reporting for Frontier AI Development

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arxiv 2404.02675 v1 pith:6PO6PEPY submitted 2024-04-03 cs.CY cs.AI

Responsible Reporting for Frontier AI Development

Noam Kolt , Markus Anderljung , Joslyn Barnhart , Asher Brass , Kevin Esvelt , Gillian K. Hadfield , Lennart Heim , Mikel Rodriguez
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Jonas B. Sandbrink Thomas Woodside
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classification cs.CY cs.AI
keywords frontierinformationsystemsreportingorganizationsresponsiblerisksaccess
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Mitigating the risks from frontier AI systems requires up-to-date and reliable information about those systems. Organizations that develop and deploy frontier systems have significant access to such information. By reporting safety-critical information to actors in government, industry, and civil society, these organizations could improve visibility into new and emerging risks posed by frontier systems. Equipped with this information, developers could make better informed decisions on risk management, while policymakers could design more targeted and robust regulatory infrastructure. We outline the key features of responsible reporting and propose mechanisms for implementing them in practice.

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Cited by 1 Pith paper

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  1. NeurIPS Should Require Reproducibility Standards for Frontier AI Safety Claims

    cs.CY 2026-05 conditional novelty 5.0

    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.