| 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|