'End to End' Towards a Framework for Reducing Biases and Promoting Transparency of Algorithmic Systems

Avital Shulner Tal, Khuyagbaatar Batsuren, Veronika Bogina, Fausto Giunchiglia, Alan Hartman, Styliani Kleanthous Loizou, Tsvi Kuflik, Jahna Otterbacher

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Algorithms play an increasing role in our everyday lives. Recently, the harmful potential of biased algorithms has been recognized by researchers and practitioners. We have also witnessed a growing interest in ensuring the fairness and transparency of algorithmic systems. However, so far there is no agreed upon solution and not even an agreed terminology. The proposed research defines the problem space, solution space and a prototype of comprehensive framework for the detection and reducing biases in algorithmic systems.

Original languageEnglish
Title of host publication2019 14th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728136349
DOIs
StatePublished - Jun 2019
Event14th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2019 - Larnaka, Cyprus
Duration: 9 Jun 201910 Jun 2019

Publication series

Name2019 14th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2019

Conference

Conference14th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2019
Country/TerritoryCyprus
CityLarnaka
Period9/06/1910/06/19

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research has been partly supported by the Cyprus Center for Algorithmic Transparency, which has received funding from the European Union's Horizon 2020 Research and Innovation Program under Grant Agreement No. 810105 (CyCAT – Call: H2020-WIDESPREAD-05-2017-Twinning).

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Algorithmic Systems
  • Bias
  • Diversity
  • Fairness
  • Transparency

ASJC Scopus subject areas

  • Media Technology
  • Social Sciences (miscellaneous)
  • Communication
  • Computer Networks and Communications

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