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Miles Brundage
Miles Brundage
Independent AI policy researcher
Bestätigte E-Mail-Adresse bei asu.edu - Startseite
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Zitiert von
Zitiert von
Jahr
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
73092023
Deep reinforcement learning: A brief survey
K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath
IEEE Signal Processing Magazine 34 (6), 26-38, 2017
4976*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
36972021
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
13142018
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
6422019
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
4682020
Understanding the capabilities, limitations, and societal impact of large language models
A Tamkin, M Brundage, J Clark, D Ganguli
arXiv preprint arXiv:2102.02503, 2021
3502021
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
3162019
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
3002022
Limitations and risks of machine ethics
M Brundage
Journal of Experimental & Theoretical Artificial Intelligence 26 (3), 355-372, 2014
1592014
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
1322021
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
1302023
The role of cooperation in responsible AI development
A Askell, M Brundage, G Hadfield
arXiv preprint arXiv:1907.04534, 2019
872019
Gpt-4o system card
A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ...
arXiv preprint arXiv:2410.21276, 2024
782024
Taking superintelligence seriously: Superintelligence: Paths, dangers, strategies by nick bostrom (Oxford university press, 2014)
M Brundage
Futures 72, 32-35, 2015
612015
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
Should we fear artificial intelligence?: in-depth analysis
PJ Bentley, M Brundage, O Häggström, T Metzinger
European Parliament, 2018
53*2018
Practices for governing agentic AI systems
Y Shavit, S Agarwal, M Brundage, S Adler, C O’Keefe, R Campbell, T Lee, ...
Research Paper, OpenAI, December, 2023
512023
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
472021
Smart policies for artificial intelligence
M Brundage, J Bryson
arXiv preprint arXiv:1608.08196, 2016
442016
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