2 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
Securing External Deeper-than-black-box GPAI Evaluations
Alejandro Tlaie, Jimmy Farrell
This paper examines the critical challenges and potential solutions for conducting secure and effective external evaluations of general-purpose AI (GPAI) models. With the exponenti…
Assessing confidence in frontier AI safety cases
Stephen Barrett, Philip Fox, Joshua Krook +3
Powerful new frontier AI technologies are bringing many benefits to society but at the same time bring new risks. AI developers and regulators are therefore seeking ways to assure…
Using AI Alignment Theory to understand the potential pitfalls of regulatory frameworks
Alejandro Tlaie
This paper leverages insights from Alignment Theory (AT) research, which primarily focuses on the potential pitfalls of technical alignment in Artificial Intelligence, to criticall…