most citedFrontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CY2026

Embedded Assessments for Frontier AI

Jacob Charnock, Sophie Williams, Zaheed Kara +5

Third-party evaluations for frontier AI have mostly tested models through external interfaces before deployment. But the risks from frontier AI models depend on how their developer…

cs.CY2026

Underwriting the Agent Economy: The Blueprint for an AI Insurance Stack

Cristian Trout, Sanmi Koyejo, Sasha Romanosky +34

From maritime trade to commercial nuclear power, insurance has been the enabler of major economic and technological developments by pricing risk, limiting downside, and spreading b…

cs.CY2026

Open Technical Problems in Open-Weight AI Model Risk Management

Stephen Casper, Kyle O'Brien, Shayne Longpre +19

Frontier AI models with openly available weights are steadily becoming more powerful and widely adopted. However, compared to proprietary models, open-weight models pose different…

cs.CY2026

Open Weight AI Models Require Proportional Evaluation Approaches

Patricia Paskov, Christopher Rodriguez, Sunishchal Dev +1

Open-weight AI models (OWMs), or models released with publicly-available weights, are distributing rapidly and approaching the performance levels of leading closed-weight AI models…

cs.LG2026

Open Problems in Frontier AI Risk Management

Marta Ziosi, Miro Plueckebaum, Stephen Casper +26

Frontier AI both amplifies existing risks and introduces qualitatively novel challenges. Not only is there a notable lack of stable scientific consensus resulting from the rapid pa…

cs.CY2026★ 1 cited

Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies

Miles Brundage, Noemi Dreksler, Aidan Homewood +45

We outline a vision for frontier AI auditing, which we define as rigorous third-party verification of frontier AI developers' safety and security claims, and evaluation of their sy…

cs.CY2026

Expanding External Access To Frontier AI Models For Dangerous Capability Evaluations

Jacob Charnock, Alejandro Tlaie, Kyle O'Brien +2

Frontier AI companies increasingly rely on external evaluations to assess risks from dangerous capabilities before deployment. However, external evaluators often receive limited mo…