首页|Reports Outline Artificial Intelligence Study Results from University of British Columbia (Positioning Paradata: a Conceptual Frame for Ai Processual Documentat ion In Archives and Recordkeeping Contexts)
Reports Outline Artificial Intelligence Study Results from University of British Columbia (Positioning Paradata: a Conceptual Frame for Ai Processual Documentat ion In Archives and Recordkeeping Contexts)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Artific ial Intelligence. According to news reporting originating in Vancouver, Canada, by NewsRx journalists, research stated, "The emergence of sophisticated Artifici al Intelligence (AI) and machine learning tools poses a challenge to archives an d records professionals, who are accustomed to understanding and documenting the activities of human agents rather than the often-opaque processes of sophistica ted AI functioning. Preliminary work has proposed the term paradata to describe the unique documentation needs that emerge for archivists using AI tools to proc ess records in their collections." Funders for this research include International Research on Permanent Authentic Records in Electronic Systems (InterPARES) Trust AI, CGIAR. The news reporters obtained a quote from the research from the University of Bri tish Columbia, "For the purposes of archivists working with AI, paradata is conc eptualized here as information recorded and preserved about records' processing with AI tools; it is a category of data that is defined both by its relationship with other datasets and by the documentary purpose it serves. This article surv eys relevant literature across three contexts to scope the relevant scholarship that archivists may draw upon to develop appropriate AI documentation practices. From the statistical social sciences and the visual heritage fields, the articl e discusses existing definitions of paradata and its ambiguous, often contextual ly dependent relationship with existing metadata categories. Approaching the pro blem from a sociotechnical perspective, literature on Explainable Artificial Int elligence (XAI) insists pointedly that explainability be attuned to specific use rs' stated needs-needs that archivists may better articulate using the framework of paradata."
VancouverCanadaNorth and Central Ame ricaArtificial IntelligenceEmerging TechnologiesMachine LearningUniversi ty of British Columbia
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