5 papers
Comprehensive AI governance requires addressing non-model gains
Arthur Goemans, Dan Altman, Noemi Dreksler +8
Frontier AI governance often centres on the model-level governance paradigm, which assumes that a model's capability profile is primarily a function of the compute and data used du…
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…
Third-party compliance reviews for frontier AI safety frameworks
Aidan Homewood, Sophie Williams, Noemi Dreksler +11
Safety frameworks have emerged as a best practice for managing risks from frontier artificial intelligence (AI) systems. However, it may be difficult for stakeholders to know if co…
Subjective Experience in AI Systems: What Do AI Researchers and the Public Believe?
Noemi Dreksler, Lucius Caviola, David Chalmers +6
We surveyed 582 AI researchers who have published in leading AI venues and 838 nationally representative US participants about their views on the potential development of AI system…
Local US officials' views on the impacts and governance of AI: Evidence from 2022 and 2023 survey waves
Sophia Hatz, Noemi Dreksler, Kevin Wei +1
This paper presents a survey of local US policymakers' views on the future impact and regulation of AI. Our survey provides insight into US policymakers' expectations regarding the…