| Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 8125 | 2023 |
| Deep reinforcement learning: A brief survey K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath IEEE Signal Processing Magazine 34 (6), 26-38, 2017 | 5087* | 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 | 3896 | 2021 |
| 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 | 1355 | 2018 |
| 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 | 671 | 2019 |
| 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 | 482 | 2020 |
| 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 | 363 | 2021 |
| 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 | 318 | 2019 |
| 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 | 316 | 2022 |
| Limitations and risks of machine ethics M Brundage Journal of Experimental & Theoretical Artificial Intelligence 26 (3), 355-372, 2014 | 158 | 2014 |
| Gpt-4o system card A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ... arXiv preprint arXiv:2410.21276, 2024 | 144 | 2024 |
| 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 | 138 | 2023 |
| 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 | 133 | 2021 |
| The role of cooperation in responsible AI development A Askell, M Brundage, G Hadfield arXiv preprint arXiv:1907.04534, 2019 | 92 | 2019 |
| 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 | 62 | 2023 |
| Taking superintelligence seriously: Superintelligence: Paths, dangers, strategies by nick bostrom (Oxford university press, 2014) M Brundage Futures 72, 32-35, 2015 | 62 | 2015 |
| 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 | 57* | 2022 |
| Should we fear artificial intelligence?: in-depth analysis PJ Bentley, M Brundage, O Häggström, T Metzinger European Parliament, 2018 | 54* | 2018 |
| 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 | 51 | 2021 |
| 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 | 46 | 2024 |
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