On the Cruelty of Really Writing a History of Machine Learning

The construction, maintenance, and mobilization of data used to both constrain and enable machine learning systems poses profound historiographical questions and offers an intellectual opportunity to engage in fundamental questions about novelty in historical narratives. To effectively explore the i...

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Bibliographic Details
Published inIEEE annals of the history of computing Vol. 38; no. 4; pp. 6 - 8
Main Author Plasek, Aaron
Format Journal Article
LanguageEnglish
Published IEEE 01.10.2016
Subjects
artificial intelligence
datasets
history of computing
history of technology
machine learning
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ISSN1058-6180
DOI10.1109/MAHC.2016.43

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Summary:The construction, maintenance, and mobilization of data used to both constrain and enable machine learning systems poses profound historiographical questions and offers an intellectual opportunity to engage in fundamental questions about novelty in historical narratives. To effectively explore the intellectual, material, and disciplinary contingencies surrounding both the curation and subsequent distribution of datasets, we need to take seriously the field of machine learning as a worthy subject for historical investigation.
ISSN:1058-6180
DOI:10.1109/MAHC.2016.43