AI and Public Archives: Collaborative Leadership for Responsible Adoption

Abstract

This panel aims to address the measures that cultural heritage institutions must undertake to ensure that their approaches to AI adoption are inclusive and equitable. Panelists from Virginia Tech, the National Archives and Records Administration, the Smithsonian Institution, and the Library of Congress will provide an overview of the current state of AI in large public-serving libraries, archives, and museums and will lead a discussion on how to incorporate AI in a responsible manner. The discussion builds on the panelists’ ongoing work to critically examine the potential impacts and implications of the use of AI technology by cultural heritage institutions and strategies for addressing and mitigating its negative effects. The panel will engage the audience in a group discussion that aims to consider possible biases and harms that may arise from the use of automated technologies, build inclusive practices in AI development and implementation, and form new partnerships to promote the use of ethical AI in libraries, archives, and museums.

Citation

BibTeX

@inproceedings{ingram2023ai,
  title = {AI and Public Archives: Collaborative Leadership for Responsible Adoption},
  author = {Ingram, William A. and Dikow, Rebecca B. and Potter, Abigail and Ferriter, Meghan and Reilly, Jill},
  booktitle = {Proceedings of the 2023 {ACM}/{IEEE} Joint Conference on Digital Libraries},
  location = {Santa Fe, New Mexico, USA},
  publisher = {{IEEE} Press},
  series = {JCDL '23},
  year = {2023},
  pages = {323--324},
  doi = {10.1109/JCDL57899.2023.00079},
  isbn = {9798350399318},
  url = {https://doi.org/10.1109/JCDL57899.2023.00079},
  note = {Panel Discussion}
}