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Shannon Mattern
Machine Learning, Collections as Data + Institutional Critique
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How machine learning has been applied in analyzing museum and library "collections as data," for the purposes of institutional critique (e.g., revealing institutional absences, biases, injustices, or the limitations of AI/ML itself) Thanks to all the folks who responded to this Twittery query: https://twitter.com/shannonmattern/status/1287471535515549696

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Collections and Collecting, Libraries and Data, bin / knowledge futures, Museums - Museums and the Web Superchannel, File Later, Resources - Digital Humanities , Archival interfaces, and machine teaching
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Design and Machine Learning - References
by Seth Kranzler
38 blocks • 3 months ago
Not Flawless - AI Confessions
Not Flawless - AI Confessions
Google Disrupts Curating Via Artificial Intelligence | artnet News
Google Disrupts Curating Via Artificial…
Lucy Siyao Liu and Tung-Hui Hu on the History of Clouds in Art and Computing
Lucy Siyao Liu and Tung-Hui Hu on the H…
Lacework
Lacework
Reports | Work | Library of Congress
Reports | Work | Library of Congress
Solving Art's Data Problem - Part One, Museums - Artnome
Solving Art's Data Problem - Part One, …
Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research
Machine Learning Using Digitized Herbar…
beta.SAM.gov
beta.SAM.gov
Curatorial Voice: legacy descriptions of art objects and their contemporary uses
Curatorial Voice: legacy descriptions o…
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