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Bias in Information, Algorithms, and Systems
Proceedings of the International Workshop on Bias in Information, Algorithms, and Systems
co-located with 13th International Conference on Transforming Digital Worlds (iConference 2018)
Sheffield, United Kingdom, March 25th, 2018.
Jo Bates, The University of Sheffield, UK
Paul D. Clough, The University of Sheffield, UK
Robert Jäschke, Humboldt-Universität zu Berlin, Germany
Jahna Otterbacher, Open University of Cyprus, Cyprus
Table of Contents
- Detecting Bias: Does an Algorithm Have to Be Transparent
in Order to Be Fair? 2-8
- Algorithms, Bias, and the Importance of Agency 9-13
Alan Rubel, Clinton Castro, Adam Pham
- Re-Considering Bias: What Could Bringing Gender Studies
and Computing Together Teach Us About Bias in Information
Claude Draude, Goda Klumbyte, Pat Treusch
- Towards Bias Detection in Online Text Corpora 19-23
Christoph Hube, Besnik Fetahu, Robert Jäschke
- Dealing with Bias via Data Augmentation in Supervised Learning
Vasileios Iosifidis, Eirini Ntoutsi
- The Politics and Biases of the "Crime Anticipation
System" of the Dutch Police 30-41
Serena Oosterloo, Gerwin van Schie
We offer a BibTeX file for citing papers of this workshop from LaTeX.
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2018-05-04: submitted by Robert Jäschke, metadata incl. bibliographic data published under Creative Commons CC0
2018-05-28: published on CEUR-WS.org