Brundage, Miles

Deep Reinforcement Learning: A Brief Survey

Arulkumaran, K., Deisenroth, M. P., Brundage, M., & Bharath, A. A. (2017) · IEEE Signal Processing Magazine

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 4,733

A Brief Survey of Deep Reinforcement Learning

Arulkumaran, K., Deisenroth, M. P., Brundage, M., & Bharath, A. A. (2017) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 4,733

Evaluating Large Language Models Trained on Code

Chen, M., Tworek, J., Jun, H., Yuan, Q., Pinto, H. P. D. O., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G., et al. (2021) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 1,436

The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., Dafoe, A., Scharre, P., Zeitzoff, T., Filar, B., et al. (2018) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 849

The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., Dafoe, A., Scharre, P., Zeitzoff, T., Filar, B., et al. (2018) · Apollo - University of Cambridge Repository

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 849

All the News That’s Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation

Kreps, S., McCain, R. M., & Brundage, M. (2022) · Journal of Experimental Political Science

Misinformation and Its ImpactsMedia Influence and Politics

Cited by 360

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Brundage, M., Avin, S., Wang, J., Belfield, H., Krueger, G., Hadfield, G., Khlaaf, H., Yang, J., Toner, H., Fong, R., et al. (2020) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 306

Release Strategies and the Social Impacts of Language Models

Solaiman, I., Brundage, M., Clark, J., Askell, A., Herbert-Voss, A., Wu, J., Radford, A., Krueger, G., Kim, J. W., Kreps, S., et al. (2019) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 292

GPT-4o System Card

OpenAI, :, Hurst, A., Lerer, A., Goucher, A. P., Perelman, A., Ramesh, A., Clark, A., Ostrow, A., Welihinda, A., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 180

Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

Tamkin, A., Brundage, M., Clark, J., & Ganguli, D. (2021) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 135

Frontier AI Regulation: Managing Emerging Risks to Public Safety

Anderljung, M., Barnhart, J., Korinek, A., Leung, J., O'Keefe, C., Whittlestone, J., Avin, S., Brundage, M., Bullock, J., Cass-Beggs, D., et al. (2023) · arXiv

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 77

Computing Power and the Governance of Artificial Intelligence

Sastry, G., Heim, L., Belfield, H., Anderljung, M., Brundage, M., Hazell, J., O'Keefe, C., Hadfield, G. K., Ngo, R., Pilz, K., et al. (2024) · arXiv

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 26

A Hazard Analysis Framework for Code Synthesis Large Language Models

Khlaaf, H., Mishkin, P., Achiam, J., Krueger, G., & Brundage, M. (2022) · arXiv

Software Engineering ResearchEthics and Social Impacts of AI

Cited by 23

Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies

Brundage, M., Dreksler, N., Homewood, A., McGregor, S., Paskov, P., Stosz, C., Sastry, G., Cooper, A. F., Balston, G., Adler, S., et al. (2026) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 1