Ethical Guidelines for Solving Ethical Issues and Developing AI Systems

Nagadivya Balasubramaniam, Marjo Kauppinen, Sari Kujala, Kari Hiekkanen

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

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Artificial intelligence (AI) has become a fast-growing trend. Increasingly, organizations are interested in developing AI systems, but many of them have realized that the use of AI technologies can raise ethical questions. The goal of this study was to analyze what kind of ethical guidelines companies have for solving potential ethical issues of AI and developing AI systems. This paper presents the results of the case study conducted in three companies. The ethical guidelines defined by the case companies focused on solving potential ethical issues, such as accountability, explainability, fairness, privacy, and transparency. To analyze different viewpoints on critical ethical issues, two of the companies recommended using multi-disciplinary development teams. The companies also considered defining the purposes of their AI systems and analyzing their impacts to be important practices. Based on the results of the study, we suggest that organizations develop and use ethical guidelines to prioritize critical quality requirements of AI. The results also indicate that transparency, explainability, fairness, and privacy can be critical quality requirements of AI systems.
Original languageEnglish
Title of host publicationProduct-Focused Software Process Improvement
Number of pages16
ISBN (Electronic)978-3-030-64148-1
ISBN (Print)978-3-030-64147-4
Publication statusPublished - 21 Nov 2020
MoE publication typeA4 Conference publication
EventInternational Conference on Product-Focused Software Process Improvement - Turin, Italy
Duration: 26 Nov 202027 Nov 2020
Conference number: 21

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


ConferenceInternational Conference on Product-Focused Software Process Improvement
Abbreviated titlePROFES
Internet address


  • AI system development
  • AI ethical issues
  • AI ethical guidelines
  • Quality requirements


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