VIRTUAL TALK Building Trusted Data: An Idea For A Community Driven Approach

Yale DHLab and Yale Digital Ethics Center

Dr. Julia Lane will provide an overview of a promising new community-driven approach for producing data

There has been a revolution in the production of data, and many possible answers to complex questions can be produced from these data with new AI technologies. Yet a black-box conversion of data to evidence may not be trusted by the public: incorrect results can be generated that lead to confusion and even harm.In this Love Data Week keynote event, Dr. Julia Lane will provide an overview of a promising new approach to producing data called democratizing data, an approach that is grounded in developing open, community-driven, and tested standards. She will pay particular attention to the role of experts and digital libraries in the process, and illustrate with examples from her work on the impact of AI on job quality. Additional readings of interest include her book <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmitpress.mit.edu%2F9780262542746%2Fdemocratizing-our-data%2F&amp;data=05%7C02%7Ckayla.shipp%40yale.edu%7Cfc87aecfe0fc450e31c808dd420530e2%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638739312416179256%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=%2F6xxrCfA4Qo7LUAyFY%2B3uq%2F6VtGHBdAUBrWTC7JeIWo%3D&amp;reserved=0" title="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmitpress.mit.edu%2F9780262542746%2Fdemocratizing-our-data%2F&amp;data=05%7C02%7Ckayla.shipp%40yale.edu%7Cfc87aecfe0fc450e31c808dd420530e2%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638739312416179256%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=%2F6xxrCfA4Qo7LUAyFY%2B3uq%2F6VtGHBdAUBrWTC7JeIWo%3D&amp;reserved=0" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Democratizing Data</a>, a special issue of the <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fhdsr.mitpress.mit.edu%2Fspecialissue4&amp;data=05%7C02%7Ckayla.shipp%40yale.edu%7Cfc87aecfe0fc450e31c808dd420530e2%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638739312416200533%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=vSXdkFELECb5mTJsbc14zzltnkhyO0GvsfwmVnu5rJM%3D&amp;reserved=0" title="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fhdsr.mitpress.mit.edu%2Fspecialissue4&amp;data=05%7C02%7Ckayla.shipp%40yale.edu%7Cfc87aecfe0fc450e31c808dd420530e2%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638739312416200533%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=vSXdkFELECb5mTJsbc14zzltnkhyO0GvsfwmVnu5rJM%3D&amp;reserved=0" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Harvard Data Science Review</a>, and an essay on <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fthereader.mitpress.mit.edu%2Famericas-workforce-desperately-needs-a-data-overhaul%2F&amp;data=05%7C02%7Ckayla.shipp%40yale.edu%7Cfc87aecfe0fc450e31c808dd420530e2%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638739312416222111%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=SbX3WjosNRxklJ2D06j%2BOPIjSF9Y2DQkZRWyYWpzB3Q%3D&amp;reserved=0" title="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fthereader.mitpress.mit.edu%2Famericas-workforce-desperately-needs-a-data-overhaul%2F&amp;data=05%7C02%7Ckayla.shipp%40yale.edu%7Cfc87aecfe0fc450e31c808dd420530e2%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638739312416222111%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=SbX3WjosNRxklJ2D06j%2BOPIjSF9Y2DQkZRWyYWpzB3Q%3D&amp;reserved=0" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">rethinking data and AI</a>.This presentation will be moderated by Kayla Shipp, Program Manager for the Computational Methods &amp; Data Department at Yale University Library, and is co-sponsored by the Yale Digital Ethics Center.ABOUT THE SPEAKERJulia Lane is a Professor Emerita at the NYU Wagner Graduate School of Public Service and a NYU Provostial Fellow for Innovation Analytics. She cofounded the Coleridge Initiative, whose goal is to use data to transform the way governments access and use data for the social good through training programs, research projects and a secure data facility,Julia is currently working with a number of scientific and statistical agencies on the Democratizing Data project. She has authored over 80 scientific publications, edited or coauthored 13 books, and received over $180 million in grants and contracts from national and international agencies and foundations. She currently serves on the Advisory Committee on Data for Evidence Building and the National AI Research Resources Task Force.

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VIRTUAL TALK Building Trusted Data: An Idea For A Community Driven Approach

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