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Towards Implementation of Ethical Issues into the Recommender Systems Design

Authors:
Olga Levina

Keywords: socio-technical systems; information systems design; machine learning based systems, ethical analysis

Abstract:
In the last two decades an increasing number of companies has adopted a business model based on digital services attained from user data. Accompanying these developments are not only the changes in the processes but also the attention that is brought by the society towards the effects and the constitution of these services. Moral and ethical demands are steadily rising and claims for regulation are getting loader in public discussion. In this paper, a scenario of a machine learning- based system (MLS), a fictional recommender system for food delivery, is used to identify potential ethical issues that occur during the composition and usage of the artifact. Based on the scenario and its real-life counterparts, suggestions what ethical aspects can be implemented into the design of the information system are derived. This approach is used to argue that MLS are socio-technical systems that have an impact on the system user but also on the receiver of the MLS-based result. Hence, the focus on the social aspect of the system design needs to be put early in the development phase of such a socially aware information system.

Pages: 6 to 11

Copyright: Copyright (c) IARIA, 2021

Publication date: July 18, 2021

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-877-8

Location: Nice, France

Dates: from July 18, 2021 to July 22, 2021