Data Documentation

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年 研究分野 パブリケーションの種類

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• 2024

  • The CLeAR Documentation Framework for AI Transparency: Recommendations for Practitioners & Context for Policymakers

    Kasia Chmielinski, Sarah Newman, Chris N. Kranzinger, Michael Hind, Jennifer Wortman Vaughan, Margaret Mitchell, Julia Stoyanovich, Angelina McMillan-Major, Emily McReynolds, Kathleen Esfahany, Mary L. Gray, Audrey Chang, Maui Hudson

    April 2024

    Publication

• 2022

  • Understanding Machine Learning Practitioners’ Data Documentation Perceptions, Needs, Challenges, and Desiderata

    Amy K. Heger, Liz B. Marquis, Mihaela Vorvoreanu, Hanna Wallach, Jennifer Wortman Vaughan

    2022 Conference on Computer Supported Cooperative Work | November 2022

    Publication プロジェクト

• 2021

  • Datasheets for Datasets

    Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, Kate Crawford

    Communications of the ACM | December 2021, 巻64(12): pp. 86-92

    Publication プロジェクト

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• Artificial intelligence

  • The CLeAR Documentation Framework for AI Transparency: Recommendations for Practitioners & Context for Policymakers

    Kasia Chmielinski, Sarah Newman, Chris N. Kranzinger, Michael Hind, Jennifer Wortman Vaughan, Margaret Mitchell, Julia Stoyanovich, Angelina McMillan-Major, Emily McReynolds, Kathleen Esfahany, Mary L. Gray, Audrey Chang, Maui Hudson

    April 2024

    Publication

  • Understanding Machine Learning Practitioners’ Data Documentation Perceptions, Needs, Challenges, and Desiderata

    Amy K. Heger, Liz B. Marquis, Mihaela Vorvoreanu, Hanna Wallach, Jennifer Wortman Vaughan

    2022 Conference on Computer Supported Cooperative Work | November 2022

    Publication プロジェクト

  • Datasheets for Datasets

    Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, Kate Crawford

    Communications of the ACM | December 2021, 巻64(12): pp. 86-92

    Publication プロジェクト

• Data platforms and analytics

  • The CLeAR Documentation Framework for AI Transparency: Recommendations for Practitioners & Context for Policymakers

    Kasia Chmielinski, Sarah Newman, Chris N. Kranzinger, Michael Hind, Jennifer Wortman Vaughan, Margaret Mitchell, Julia Stoyanovich, Angelina McMillan-Major, Emily McReynolds, Kathleen Esfahany, Mary L. Gray, Audrey Chang, Maui Hudson

    April 2024

    Publication

• Human-computer interaction

  • Understanding Machine Learning Practitioners’ Data Documentation Perceptions, Needs, Challenges, and Desiderata

    Amy K. Heger, Liz B. Marquis, Mihaela Vorvoreanu, Hanna Wallach, Jennifer Wortman Vaughan

    2022 Conference on Computer Supported Cooperative Work | November 2022

    Publication プロジェクト

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• Miscellaneous

  • The CLeAR Documentation Framework for AI Transparency: Recommendations for Practitioners & Context for Policymakers

    Kasia Chmielinski, Sarah Newman, Chris N. Kranzinger, Michael Hind, Jennifer Wortman Vaughan, Margaret Mitchell, Julia Stoyanovich, Angelina McMillan-Major, Emily McReynolds, Kathleen Esfahany, Mary L. Gray, Audrey Chang, Maui Hudson

    April 2024

    Publication

• Inproceedings (Conference)

  • Understanding Machine Learning Practitioners’ Data Documentation Perceptions, Needs, Challenges, and Desiderata

    Amy K. Heger, Liz B. Marquis, Mihaela Vorvoreanu, Hanna Wallach, Jennifer Wortman Vaughan

    2022 Conference on Computer Supported Cooperative Work | November 2022

    Publication プロジェクト

• Article (Journal)

  • Datasheets for Datasets

    Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, Kate Crawford

    Communications of the ACM | December 2021, 巻64(12): pp. 86-92

    Publication プロジェクト