Vol-2103
urn:nbn:de:0074-2103-6

Copyright © 2018 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

BIAS 2018
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.

Edited by

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

Preface

Invited Talk

Policy Approaches to Socio-technical Causes of Bias in Algorithmic Systems — What Role can Ethical Standards Play? 1-1
Ansgar Koene

Papers

Detecting Bias: Does an Algorithm Have to Be Transparent in Order to Be Fair? 2-8
William Seymour
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 Systems? 14-18
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 Scenarios 24-29
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.

Download the proceedings in a single volume (external link).

2018-05-04: submitted by Robert Jäschke, metadata incl. bibliographic data published under Creative Commons CC0
2018-05-28: published on CEUR-WS.org |valid HTML5|