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Leading the Future of AI and Public Archives: Toward a Shared AI Ethics Framework

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Abstract

Part two of a workshop series aimed at developing a shared AI Ethics Framework for galleries, libraries, archives, and museums. Keynote speakers included Afua Bruce and Isaac Johnson. Activities focused on creating an institutional AI ethics statement and operationalizing AI in LAMs.

Citation

“Leading the Future of AI and Public Archives: Toward a Shared AI Ethics Framework.” November 16, 2022–November 17, 2022. Virtual Workshop. William A. Ingram, Virginia Tech University Libraries; Sylvester A. Johnson, Virginia Tech Center for Humanities; Abigail Potter, Library of Congress Labs; Meghan Ferriter, Library of Congress Labs; Rebecca Dikow, Smithsonian OCIO Data Science Lab; Mike Trizna, Smithsonian OCIO Data Science Lab; and Jill Reilly, National Archives Office of Innovation. Part two of a workshop series aimed at developing a shared AI Ethics Framework for galleries, libraries, archives, and museums. Keynote speakers included Afua Bruce and Isaac Johnson. Activities focused on creating an institutional AI ethics statement and operationalizing AI in LAMs. .

BibTeX

@misc{ingram2022ai_ethics_framework_part2,
  title = {Leading the Future of AI and Public Archives: Toward a Shared AI Ethics Framework},
  date = {2022-11-16},
  enddate = {2022-11-17},
  location = {Virtual Workshop},
  author = {William A. Ingram, Virginia Tech University Libraries and Sylvester A. Johnson, Virginia Tech Center for Humanities and Abigail Potter, Library of Congress Labs and Meghan Ferriter, Library of Congress Labs and Rebecca Dikow, Smithsonian OCIO Data Science Lab and Mike Trizna, Smithsonian OCIO Data Science Lab and Jill Reilly, National Archives Office of Innovation},
  url = {https://smithsonian.github.io/AIandPublicArchives2022/},
  note = {Part two of a workshop series aimed at developing a shared AI Ethics Framework for galleries, libraries, archives, and museums. Keynote speakers included Afua Bruce and Isaac Johnson. Activities focused on creating an institutional AI ethics statement and operationalizing AI in LAMs.}
}