Bias in Information, Algorithms, and Systems

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In Jo Bates, Paul D. Clough, Robert Jäschke & Jahna Otterbacher (eds.), Proceedings of the International Workshop on Bias in Information, Algorithms, and Systems (BIAS). pp. 9-13 (2018)
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Abstract

We argue that an essential element of understanding the moral salience of algorithmic systems requires an analysis of the relation between algorithms and agency. We outline six key ways in which issues of agency, autonomy, and respect for persons can conflict with algorithmic decision-making.

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Author Profiles

Alan Rubel
University of Wisconsin, Madison
Clinton Castro
University of Wisconsin, Madison
Adam Pham

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