‪Centre for the Governance of AI‬

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	All	Since 2019
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Allan DafoeAssoc. Prof., Centre for the Governance of AI, Future of Humanity Institute, University of OxfordVerified email at politics.ox.ac.uk
Markus AnderljungCentre for the Governance of AIVerified email at governance.ai
Baobao ZhangSyracuse UniversityVerified email at syr.edu
Shahar AvinUniversity of CambridgeVerified email at cam.ac.uk
Jade LeungResearcher, Centre for the Governance of AI, Future of Humanity Institute, University of OxfordVerified email at governance.ai
Jeffrey DingAssistant Professor, George Washington UniversityVerified email at gwu.edu
Ben GarfinkelDirector, Centre for the Governance of AI; Research Fellow, University of OxfordVerified email at philosophy.ox.ac.uk
Peter CihonGitHubVerified email at github.com
Lennart HeimCentre for the Governance of AIVerified email at governance.ai
Owain EvansResearch Associate, University of OxfordVerified email at philosophy.ox.ac.uk
Jonas SchuettResearch Fellow, Centre for the Governance of AI, Oxford, UKVerified email at governance.ai
Katja GraceAI ImpactsVerified email at intelligence.org
Toby ShevlaneGoogle DeepMindVerified email at google.com
Emma BluemkeUniversity of OxfordVerified email at dtc.ox.ac.uk
Noemi DrekslerCentre for the Governance of AIVerified email at governance.ai
Eric HorvitzMicrosoftVerified email at microsoft.com
Robert TragerUniversity of OxfordVerified email at bsg.ox.ac.uk
Gillian HadfieldProfessor of Law and Professor of Strategic Management, University of Toronto; Faculty AffiliateVerified email at utoronto.ca
Peter EckersleyCo-founder, AI Objectives InstituteVerified email at pde.is
Jess WhittlestoneSenior Research Associate, Centre for the Study of Existential Risk, University of CambridgeVerified email at cam.ac.uk

Centre for the Governance of AI

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Verified email at governance.ai - Homepage

Governance of AI Artificial Intelligence Technology Politics


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The malicious use of artificial intelligence: Forecasting, prevention, and mitigation M Brundage, S Avin, J Clark, H Toner, P Eckersley, B Garfinkel, A Dafoe, ... arXiv preprint arXiv:1802.07228, 2018	1062*	2018
When will AI exceed human performance? Evidence from AI experts K Grace, J Salvatier, A Dafoe, B Zhang, O Evans Journal of Artificial Intelligence Research 62, 729-754, 2018	918	2018
Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023	804	2023
Artificial intelligence and its implications for income distribution and unemployment A Korinek, JE Stiglitz The economics of artificial intelligence: An agenda, 349-390, 2018	471	2018
Toward trustworthy AI development: mechanisms for supporting verifiable claims M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ... arXiv preprint arXiv:2004.07213, 2020	327	2020
Artificial intelligence: American attitudes and trends B Zhang, A Dafoe Available at SSRN 3312874, 2019	308	2019
AI governance: a research agenda A Dafoe Governance of AI Program, Future of Humanity Institute, University of Oxford …, 2018	295	2018
Deciphering China’s AI dream J Ding Future of Humanity Institute Technical Report, 2018	240	2018
Compute trends across three eras of machine learning J Sevilla, L Heim, A Ho, T Besiroglu, M Hobbhahn, P Villalobos 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022	215	2022
Open problems in cooperative ai A Dafoe, E Hughes, Y Bachrach, T Collins, KR McKee, JZ Leibo, K Larson, ... arXiv preprint arXiv:2012.08630, 2020	184	2020
Cooperative AI: machines must learn to find common ground A Dafoe, Y Bachrach, G Hadfield, E Horvitz, K Larson, T Graepel https://www.nature.com/articles/d41586-021-01170-0, 2021	182	2021
Standards for AI governance: international standards to enable global coordination in AI research & development P Cihon Future of Humanity Institute. University of Oxford, 340-342, 2019	124	2019
Artificial intelligence, globalization, and strategies for economic development A Korinek, JE Stiglitz National Bureau of Economic Research, 2021	119	2021
Will we run out of data? an analysis of the limits of scaling datasets in machine learning P Villalobos, J Sevilla, L Heim, T Besiroglu, M Hobbhahn, A Ho arXiv preprint arXiv:2211.04325, 2022	88	2022
How does the offense-defense balance scale? B Garfinkel, A Dafoe Emerging Technologies and International Stability, 247-274, 2021	75	2021
When will AI exceed human performance K Grace, J Salvatier, A Dafoe, B Zhang, O Evans Evidence from AI experts 1, 21, 2017	73	2017
Model evaluation for extreme risks T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ... arXiv preprint arXiv:2305.15324, 2023	70	2023
Corporate governance of artificial intelligence in the public interest P Cihon, J Schuett, SD Baum Information 12 (7), 275, 2021	63	2021
US public opinion on the governance of artificial intelligence B Zhang, A Dafoe Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 187-193, 2020	60	2020
Ethics and governance of artificial intelligence: Evidence from a survey of machine learning researchers B Zhang, M Anderljung, L Kahn, N Dreksler, MC Horowitz, A Dafoe Journal of Artificial Intelligence Research 71, 591–666-591–666, 2021	57	2021

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