B3 Non-refereed conference proceedings
Implementing Artificial Intelligence Ethics in Trustworthy System Development : Making AI Ethics a Business Case (2022)


Agbese, M. (2022). Implementing Artificial Intelligence Ethics in Trustworthy System Development : Making AI Ethics a Business Case. In D. Taibi, M. Kuhrmann, T. Mikkonen, J. Klünder, & P. Abrahamsson (Eds.), PROFES 2022 : 23rd International Conference on Product-Focused Software Process Improvement, Proceedings (pp. 656-661). Springer. Lecture Notes in Computer Science, 13709. https://doi.org/10.1007/978-3-031-21388-5_52


JYU authors or editors


Publication details

All authors or editorsAgbese, Mamia

Parent publicationPROFES 2022 : 23rd International Conference on Product-Focused Software Process Improvement, Proceedings

Parent publication editorsTaibi, Davide; Kuhrmann, Marco; Mikkonen, Tommi; Klünder, Jil; Abrahamsson, Pekka

Place and date of conferenceJyväskylä, Finland21.-23.11.2022

ISBN978-3-031-21387-8

eISBN978-3-031-21388-5

Journal or seriesLecture Notes in Computer Science

ISSN0302-9743

eISSN1611-3349

Publication year2022

Publication date14/11/2022

Number in series13709

Pages range656-661

Number of pages in the book682

PublisherSpringer

Place of PublicationCham

Publication countrySwitzerland

Publication languageEnglish

DOIhttps://doi.org/10.1007/978-3-031-21388-5_52

Publication open accessNot open

Publication channel open access

Additional informationDoctoral Symposium


Abstract

Software businesses struggle to implement AI ethics or ethical requirements in their development and engineering of AI. Current tools mainly focus on the technical level, with scarce resources identified for the different groups across software business organizations. This study focuses on developing a proposed solution, the ethical requirement stack, as a toolkit software businesses can leverage to implement ethical requirements. The tool aims to improve the understanding and visibility of AI ethics by serving as a go-to in interpreting AI ethics guidelines, thereby reducing the gap in transitioning AI ethics from principles to practice.


Keywordsartificial intelligenceethicsethicalitydata systemssystem designinformation technology companiesbusiness models

Free keywordsAI ethics; ethical requirements; AI ethics principles; software businesses; ethical requirement stack


Contributing organizations


Ministry reportingYes

Reporting Year2022


Last updated on 2024-26-03 at 09:21