Publication Date
1-1-2022
Document Type
Conference Proceeding
Publication Title
Archiving 2022: Expanding Connections Across Digital Cultural Heritage - Final Program and Proceedings
DOI
10.2352/issn.2168-3204.2022.19.1.17
First Page
83
Last Page
88
Abstract
While a familiar term in fields like social science research and digital cultural heritage, 'paradata' has not yet been introduced conceptually into the archival realm. In response to an increasing number of experiments with machine learning and artificial intelligence, the InterPARES Trust AI research group proposes the definition of paradata as 'information about the procedure(s) and tools used to create and process information resources, along with information about the persons carrying out those procedures.' The utilization of this concept in archives can help to ensure that AI-driven systems are designed from the outset to honor the archival ethic, and to aid in the evaluation of off-the-shelf automation solutions. An evaluation of current AI experiments in archives highlights opportunities for paradata-conscious practice.
Funding Sponsor
Social Sciences and Humanities Research Council of Canada
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Information
Recommended Citation
Jeremy Davet, Babak Hamidzadeh, Patricia Franks, and Jenny Bunn. "Tracking the Functions of AI as Paradata & Pursuing Archival Accountability" Archiving 2022: Expanding Connections Across Digital Cultural Heritage - Final Program and Proceedings (2022): 83-88. https://doi.org/10.2352/issn.2168-3204.2022.19.1.17
