Takip et
Miles Brundage
Miles Brundage
Independent AI policy researcher
asu.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
11358*2023
Deep reinforcement learning: A brief survey
K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath
IEEE Signal Processing Magazine 34 (6), 26-38, 2017
5139*2017
Evaluating large language models trained on code
M Chen, J Tworek, H Jun, Q Yuan, HPDO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374, 2021
41242021
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
14232018
Release strategies and the social impacts of language models
I Solaiman, M Brundage, J Clark, A Askell, A Herbert-Voss, J Wu, ...
arXiv preprint arXiv:1908.09203, 2019
7192019
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
4792020
All the news that’s fit to fabricate: AI-generated text as a tool of media misinformation
S Kreps, RM McCain, M Brundage
Journal of experimental political science 9 (1), 104-117, 2022
3302022
Better language models and their implications
A Radford, J Wu, D Amodei, D Amodei, J Clark, M Brundage, I Sutskever
OpenAI blog 1 (2), 2019
3152019
Gpt-4o system card
A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ...
arXiv preprint arXiv:2410.21276, 2024
2872024
Limitations and risks of machine ethics
M Brundage
Journal of Experimental & Theoretical Artificial Intelligence 26 (3), 355-372, 2014
1612014
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
1532023
Evaluating clip: towards characterization of broader capabilities and downstream implications
S Agarwal, G Krueger, J Clark, A Radford, JW Kim, M Brundage
arXiv preprint arXiv:2108.02818, 2021
1312021
The role of cooperation in responsible AI development
A Askell, M Brundage, G Hadfield
arXiv preprint arXiv:1907.04534, 2019
932019
Practices for governing agentic AI systems
Y Shavit, S Agarwal, M Brundage, S Adler, C O’Keefe, R Campbell, T Lee, ...
Research Paper, OpenAI, 2023
702023
Taking superintelligence seriously: Superintelligence: Paths, dangers, strategies by nick bostrom (Oxford university press, 2014)
M Brundage
Futures 72, 32-35, 2015
622015
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
582024
DALL· E 2 Preview-Risks and Limitations.(2022)
P Mishkin, L Ahmad, M Brundage, G Krueger, G Sastry
URL https://github. com/openai/dalle-2-preview/blob/main/system-card. md, 2022
55*2022
Filling gaps in trustworthy development of AI
S Avin, H Belfield, M Brundage, G Krueger, J Wang, A Weller, ...
Science 374 (6573), 1327-1329, 2021
542021
Should we fear artificial intelligence?: in-depth analysis
PJ Bentley, M Brundage, O Häggström, T Metzinger
European Parliament, 2018
54*2018
International institutions for advanced AI
L Ho, J Barnhart, R Trager, Y Bengio, M Brundage, A Carnegie, ...
arXiv preprint arXiv:2307.04699, 2023
482023
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