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Volume: 19 | Article ID: 17
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Tracking the Functions of AI as Paradata & Pursuing Archival Accountability
  DOI :  10.2352/issn.2168-3204.2022.19.1.17  Published OnlineJune 2022
Abstract
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

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Jeremy E. Davet, Babak Hamidzadeh, Patricia C. Franks, Jenny Bunn, "Tracking the Functions of AI as Paradata & Pursuing Archival Accountabilityin Archiving Conference,  2022,  pp 83 - 88,  https://doi.org/10.2352/issn.2168-3204.2022.19.1.17

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