Preventing Algorithmic Bias in the Development of Algorithmic Decision-Making Systems: A Delphi Study

Banu Aysolmaz, Deniz Iren, Nancy Dau

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

Abstract

In this digital era, we encounter automated decisions made about or on behalf of us by the so called Algorithmic Decision-Making (ADM) systems. While ADM systems can provide promising business opportunities, their implementation poses numerous challenges. Algorithmic bias that can enter these systems may result in systematical discrimination and unfair decisions by favoring certain individuals over others. Several approaches have been proposed to correct erroneous decision-making in the form of algorithmic bias. However, proposed remedies have mostly dealt with identifying algorithmic bias after the unfair decision has been made rather than preventing it. In this study, we use Delphi method to propose an ADM systems development process and identify sources of algorithmic bias at each step of this process together with remedies. Our outputs can pave the way to achieve ethics-by-design for fair and trustworthy ADM systems.
Original languageEnglish
Title of host publicationProceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Place of PublicationHonolulu
PublisherHICSS
Pages5267-5276
Number of pages10
ISBN (Electronic)9780998133133
DOIs
Publication statusPublished - 7 Jan 2020
EventThe 53rd Hawaii International Conference on System Sciences - Grand Wailea, Maui, United States
Duration: 7 Jan 202010 Jan 2020
Conference number: 53
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=88330&copyownerid=105104

Conference

ConferenceThe 53rd Hawaii International Conference on System Sciences
Abbreviated titleHICSS 2020
CountryUnited States
CityMaui
Period7/01/2010/01/20
Internet address

Keywords

  • artificial inteligence
  • algorithmic bias
  • Delphi method
  • ethics

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    Aysolmaz, B., Iren, D., & Dau, N. (2020). Preventing Algorithmic Bias in the Development of Algorithmic Decision-Making Systems: A Delphi Study. In Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020 (pp. 5267-5276). HICSS. https://doi.org/10.24251/HICSS.2020.648