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Margaret Mitchell

Researcher and Chief Ethics Scientist at Hugging Face; first author of Model Cards for Model Reporting

Margaret Mitchell is a computer scientist who works at Hugging Face as a researcher and Chief Ethics Scientist, on ML data processing, responsible AI development, and AI ethics; Mitchell's timeline dates the Hugging Face role to 2021. Mitchell previously worked at Google AI as a Staff Research Scientist, where Mitchell founded and co-led Google's Ethical AI group, and before that was a researcher at Microsoft Research focused on vision-to-language generation, including work on the Seeing AI project for blind and low-vision people. Mitchell is first author of "Model Cards for Model Reporting" (2018), which proposed short documents that accompany trained models with benchmarked evaluation and intended-use information.123

Work

  • Model Cards for Model Reporting (external site: arxiv.org)Published research

    First author of the 2018 paper proposing model cards: short documents released with trained machine learning models that report benchmarked evaluation across conditions and describe the contexts the models are intended for.31

  • Seeing AI (Microsoft)Proprietary product

    Mitchell's site describes developing Seeing AI to assist blind and low-vision people, and the timeline notes its release in 2017 through Microsoft Cognitive Services.12

Other documented roles

Roles the sources document but that are not confirmed as current.

This profile covers public professional work only, from the sources below. It is not an endorsement or a ranking. To correct or remove it, use the correction form.

Sources · reviewed Oct 13, 2026

  1. 1.
    Margaret Mitchell — About Me (external site: m-mitchell.com)

    Margaret Mitchell · Official page · accessed Oct 13, 2026

  2. 2.
    Margaret Mitchell — Timeline (external site: m-mitchell.com)

    Margaret Mitchell · Official page · accessed Oct 13, 2026

  3. 3.
    Model Cards for Model Reporting (arXiv 1810.03993) (external site: arxiv.org)

    arXiv · Paper · published Oct 5, 2018 · accessed Oct 13, 2026

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