עקוב אחר
Markus Anderljung
Markus Anderljung
Centre for the Governance of AI
כתובת אימייל מאומתת בדומיין governance.ai - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
4662020
Model evaluation for extreme risks‏
T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ...‏
arXiv preprint arXiv:2305.15324, 2023‏
1732023
Frontier AI regulation: Managing emerging risks to public safety‏
M Anderljung, J Barnhart, A Korinek, J Leung, C O'Keefe, J Whittlestone, ...‏
arXiv preprint arXiv:2307.03718, 2023‏
1482023
Foundational challenges in assuring alignment and safety of large language models‏
U Anwar, A Saparov, J Rando, D Paleka, M Turpin, P Hase, ES Lubana, ...‏
arXiv preprint arXiv:2404.09932, 2024‏
1362024
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
882021
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
722022
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
722021
Filling gaps in trustworthy development of AI‏
NZ Shahar Avin, Haydn Belfield, Miles Brundage, Gretchen Krueger, Jasmine ...‏
Science 374 (6573), pp. 1327-1329, 2021‏
532021
Computing power and the governance of artificial intelligence‏
G Sastry, L Heim, H Belfield, M Anderljung, M Brundage, J Hazell, ...‏
arXiv preprint arXiv:2402.08797, 2024‏
502024
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
502023
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
452023
Protecting society from AI misuse: when are restrictions on capabilities warranted?‏
M Anderljung, J Hazell, M von Knebel‏
AI & SOCIETY, 1-17, 2024‏
382024
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
322022
Open problems in technical ai governance‏
A Reuel, B Bucknall, S Casper, T Fist, L Soder, O Aarne, L Hammond, ...‏
arXiv preprint arXiv:2407.14981, 2024‏
282024
Towards publicly accountable frontier LLMs: Building an external scrutiny ecosystem under the ASPIRE framework‏
M Anderljung, ET Smith, J O'Brien, L Soder, B Bucknall, E Bluemke, ...‏
arXiv preprint arXiv:2311.14711, 2023‏
282023
Visibility into AI agents‏
A Chan, C Ezell, M Kaufmann, K Wei, L Hammond, H Bradley, E Bluemke, ...‏
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024‏
232024
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
192020
Model evaluation for extreme risks, 2023‏
T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ...‏
URL https://arxiv. org/abs/2305.15324, 0‏
17
Responsible reporting for frontier AI development‏
N Kolt, M Anderljung, J Barnhart, A Brass, K Esvelt, GK Hadfield, L Heim, ...‏
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 768-783, 2024‏
152024
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
142020
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מאמרים 1–20