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Miles Brundage

Miles Brundage has 2 papers in our library, in 2019–2021, most of them on Language models & pretraining; often with Jack Clark, Alec Radford, Alex Tamkin.

2 papers in our library · 2019–2021

OpenAlex · h-index 19 · 36 works · 8,769 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2,575 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #3307

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢OpenAISan Francisco · United States2019–2023 · 6 papers🎓Arizona State UniversityTempe · United States2014–2017 · 6 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSafety Research · 2 worksSocial Sciences · 2 works

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20211 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Release Strategies and the Social Impacts of Language Models (2019 · 554 citations)
    The report asks how a lab should publish a strong text generator whose output could feed fake news, impersonation or automated abuse, without giving up its benefits.
  2. Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models (2021 · 185 citations)
    This document is not an experimental study. It is a structured report of a closed meeting on 14 October 2020, where researchers from OpenAI, Stanford HAI and other universities discussed open questions raised by GPT-3. Attendees came from computer science, linguistics, philosophy, political science, cyber policy and…

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation ↗arXiv (Cornell University) · no summary yetMiles Brundage et al.2018 · 866 citations
  2. Release Strategies and the Social Impacts of Language ModelsarXiv:1908.09203Irene Solaiman, Miles Brundage, Jack Clark, et al.2019 · 554 citations
  3. Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims ↗arXiv:2004.07213 · no summary yetMiles Brundage et al.2020 · 320 citations
  4. Understanding the Capabilities, Limitations, and Societal Impact of Large Language ModelsarXiv:2102.02503Alex Tamkin, Miles Brundage, Jack Clark, et al.2021 · 185 citations
  5. Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications ↗arXiv (Cornell University) · no summary yetSandhini Agarwal et al.2021 · 64 citations
  6. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research ↗neural information processing systems · no summary yetA. Feder Cooper et al.2025 · 17 citations
  7. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice ↗SSRN Electronic Journal · no summary yetA. Feder Cooper et al.2025 · 12 citations

 Co-authors here

10 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 2,575 times (of the 149,439 papers whose bibliographies we read); 677 citing papers with a page here →.

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