Tracking the Functions of AI as Paradata & Pursuing Archival Accountability

Jeremy E. Davet · Babak Hamidzadeh · Patricia C. Franks · Jenny Bunn

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Digital and Traditional Archives Management Ethics and Social Impacts of AI Data Analysis and Archiving

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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References

2019Model Cards for Model Reporting 2019FactSheets: Increasing trust in AI services through supplier's declarations of conformity 2020Archives, Recordkeeping, and Social Justice 2012The Unbearable Complexity of Documenting Intellectual Processes : Paradata and Virtual Cultural Heritage Visualisation

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