Data Documentation

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년 연구분야 출판 유형

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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 프로젝트

• 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, 제 64 권(12): pp. 86-92

    Publication 프로젝트

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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 프로젝트

  • 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, 제 64 권(12): pp. 86-92

    Publication 프로젝트

• 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 프로젝트

모두 펼치기 | 모두 축소

• 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 프로젝트

• 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, 제 64 권(12): pp. 86-92

    Publication 프로젝트