Miles Brundage
Miles Brundage
Head of Policy Research, OpenAI
Verified email at asu.edu - Homepage
Title
Cited by
Cited by
Year
A brief survey of deep reinforcement learning
K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath
IEEE Signal Processing Magazine 34 (6), 2017
1321*2017
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
456*2018
Better language models and their implications
A Radford, J Wu, D Amodei, D Amodei, J Clark, M Brundage, I Sutskever
OpenAI Blog https://openai. com/blog/better-language-models 1, 2, 2019
922019
Limitations and risks of machine ethics
M Brundage
Journal of Experimental & Theoretical Artificial Intelligence 26 (3), 355-372, 2014
852014
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
762019
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
662020
Artificial intelligence and responsible innovation
M Brundage
Fundamental issues of artificial intelligence, 543-554, 2016
212016
Should we fear artificial intelligence?: in-depth analysis
PJ Bentley, M Brundage, O Häggström, T Metzinger
European Parliament, 2018
202018
The role of cooperation in responsible AI development
A Askell, M Brundage, G Hadfield
arXiv preprint arXiv:1907.04534, 2019
182019
Smart policies for artificial intelligence
M Brundage, J Bryson
arXiv preprint arXiv:1608.08196, 2016
182016
Modeling Progress in AI
M Brundage
AAAI 2016 - Workshop on AI, Ethics, and Society, 2016
172016
Taking superintelligence seriously: Review of Superintelligence: Paths, dangers, strategies by Nick Bostrom (Oxford University Press, 2014)
M Brundage
Futures 72, 32-35, 2015
172015
Accounting for the neglected dimensions of ai progress
F Martinez-Plumed, S Avin, M Brundage, A Dafoe, SÓ hÉigeartaigh, ...
arXiv preprint arXiv:1806.00610, 2018
162018
Scaling Up Humanity: The Case for Conditional Optimism about Artificial Intelligence
M Brundage
Should we fear artificial intelligence?, 6-12, 2018
62018
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, 1-14, 2020
52020
Economic possibilities for our children: Artificial intelligence and the future of work, education, and leisure
M Brundage
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
52015
Understanding the movement (s) for responsible innovation
M Brundage, DH Guston
International Handbook on Responsible Innovation, 2019
32019
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
12021
The Government Role in Developing Solar Thermal Technology
M Brundage
1*2013
Evaluating Large Language Models Trained on Code
M Chen, J Tworek, H Jun, Q Yuan, H Ponde, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374, 2021
2021
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