Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications

Corinna Rutschi (), Nicholas Berente () and Frederick Nwanganga ()
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Corinna Rutschi: University of Bern
Nicholas Berente: Mendoza College of Business Notre Dame
Frederick Nwanganga: Mendoza College of Business Notre Dame

Information Systems Frontiers, 2024, vol. 26, issue 2, No 14, 633-640

Abstract: Abstract Data sensitivity and domain specificity challenges arise in reuse of machine learning applications. We identify four types of machine learning applications based on different reuse strategies: generic, distinctive, selective, and exclusive. We conclude with lessons for developing and deploying machine learning applications.

Keywords: Machine learning; Data sensitivity; Domain specificity; Reuse (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10796-023-10388-4

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