22 citations · 68 across the 10 of their papers we have counts for
10 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…
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…
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…
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…
Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Elizabeth Seger, Noemi Dreksler, Richard Moulange +19
Recent decisions by leading AI labs to either open-source their models or to restrict access to their models has sparked debate about whether, and how, increasingly capable AI mode…
Towards best practices in AGI safety and governance: A survey of expert opinion
Jonas Schuett, Noemi Dreksler, Markus Anderljung +4
A number of leading AI companies, including OpenAI, Google DeepMind, and Anthropic, have the stated goal of building artificial general intelligence (AGI) - AI systems that achieve…
Forecasting AI Progress: Evidence from a Survey of Machine Learning Researchers
Baobao Zhang, Noemi Dreksler, Markus Anderljung +4
Advances in artificial intelligence (AI) are shaping modern life, from transportation, health care, science, finance, to national defense. Forecasts of AI development could help im…
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers
Baobao Zhang, Markus Anderljung, Lauren Kahn +3
Machine learning (ML) and artificial intelligence (AI) researchers play an important role in the ethics and governance of AI, including taking action against what they perceive to…
Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferences
Remco Zwetsloot, Baobao Zhang, Noemi Dreksler +4
Countries, companies, and universities are increasingly competing over top-tier artificial intelligence (AI) researchers. Where are these researchers likely to immigrate and what a…