Contestability in Algorithmic Systems

Kristen Vaccaro
Kristen Vaccaro
Deirdre K. Mulligan
Deirdre K. Mulligan
Daniel Kluttz
Daniel Kluttz
Tad Hirsch
Tad Hirsch

Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing, pp. 523-527, 2019.

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Keywords:
algorithmic experience contestability

Abstract:

As algorithmic (and particularly machine learning) decision making systems become both more widespread and make more important decisions, there are growing concerns about their embedded values and ability to establish legitimacy among decision subjects. We argue that designing for contestability in these systems can assist in surfacing va...More

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