Researcher · Policy
Pamela Mishkin
Current role not listed
Mishkin co-authored “GPTs are GPTs,” an early systematic study of which kinds of work language models could affect and how much human time they might save.[1] Her broader research develops ways to evaluate model behaviour and anticipate economic or social harms before deployment.
Career & education
OpenAIUntil Jun 2026
Williams College
University of CambridgeWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Updates 1
Selected contributions
Learning Transferable Visual Models From Natural Language Supervision
With Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry and others ·CLIP learns from image-caption pairs to recognize categories described in words.
Training Language Models to Follow Instructions with Human Feedback
With Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Chong Zhang, Sandhini Agarwal and others ·InstructGPT uses human feedback to train language models to follow instructions.
GPT-4 Technical Report
With OpenAI, Joshua Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman and others ·Reported GPT-4's capabilities, limitations and safety evaluations as a text-and-image input model.
References
- GPTs are GPTsarxiv.org
Mishkin and her co-authors estimate which work tasks could be affected by language models and use time savings to assess exposure.
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Reviewed September 12, 2026 · Checked for accuracy and new information.