Markus Anderljung
Markus Anderljung
Centre for the Governance of AI
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Cited by
Cited by
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
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
Institutionalizing ethics in AI through broader impact requirements
CEA Prunkl, C Ashurst, M Anderljung, H Webb, J Leike, A Dafoe
Nature Machine Intelligence 3 (2), 104-110, 2021
Model evaluation for extreme risks
T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ...
arXiv preprint arXiv:2305.15324, 2023
The Brussels effect and artificial intelligence: How EU regulation will impact the global AI market
C Siegmann, M Anderljung
arXiv preprint arXiv:2208.12645, 2022
Frontier AI regulation: Managing emerging risks to public safety
M Anderljung, J Barnhart, J Leung, A Korinek, C O'Keefe, J Whittlestone, ...
arXiv preprint arXiv:2307.03718, 2023
Filling gaps in trustworthy development of AI
NZ Shahar Avin, Haydn Belfield, Miles Brundage, Gretchen Krueger, Jasmine ...
Science 374 (6573), pp. 1327-1329, 2021
Forecasting AI progress: Evidence from a survey of machine learning researchers
B Zhang, N Dreksler, M Anderljung, L Kahn, C Giattino, A Dafoe, ...
arXiv preprint arXiv:2206.04132, 2022
Towards best practices in AGI safety and governance: A survey of expert opinion
J Schuett, N Dreksler, M Anderljung, D McCaffary, L Heim, E Bluemke, ...
arXiv preprint arXiv:2305.07153, 2023
Social and governance implications of improved data efficiency
AD Tucker, M Anderljung, A Dafoe
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 378-384, 2020
A guide to writing the NeurIPS impact statement
C Ashurst, M Anderljung, C Prunkl, J Leike, Y Gal, T Shevlane, A Dafoe
Centre for the Governance of AI. URL: https://perma. cc/B5R8-2B9V, 2020
Protecting Society from AI Misuse: When are Restrictions on Capabilities Warranted?
M Anderljung, J Hazell
arXiv preprint arXiv:2303.09377, 2023
Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferences
R Zwetsloot, B Zhang, N Dreksler, L Kahn, M Anderljung, A Dafoe, ...
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 1050 …, 2021
AI Policy Levers: A Review of the US Government’s Tools to Shape AI Research, Development, and Deployment.”
SC Fischer, J Leung, M Anderljung, C O’keefe, S Torges, SM Khan, ...
Retrieved June 1, 2022, 2021
Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
E Seger, N Dreksler, R Moulange, E Dardaman, J Schuett, K Wei, ...
arXiv preprint arXiv:2311.09227, 2023
The Immigration Preferences of Top AI Researchers: New Survey Evidence
R Zwetsloot, B Zhang, M Anderljung, MC Horowitz, A Dafoe
Perry World House and The Future of Humanity Institute, 2021
Ethics and Governance of Artificial Intelligence: A Survey of Machine Learning Researchers
B Zhang, M Anderljung, L Kahn, N Dreksler, MC Horowitz, A Dafoe
31st International Joint Conference on Artificial Intelligence, IJCAI 2022 …, 2022
Compute Funds and Pre-Trained Models: Govai Blog
M Anderljung, L Heim, T Shevlane
RSS. Accessed May 13, 2023
Comments on the Initial Draft of the NIST AI Risk Management Framework
J Schuett, M Anderljung
Centre for the Governance of AI, 2022
AI Governance in 2019-A Year in Review: Observations of 50 Global Experts
T Zhu
Frontiers L. China 15, 367, 2020
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