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 editors: Agbese, Mamia
Parent publication: PROFES 2022 : 23rd International Conference on Product-Focused Software Process Improvement, Proceedings
Parent publication editors: Taibi, Davide; Kuhrmann, Marco; Mikkonen, Tommi; Klünder, Jil; Abrahamsson, Pekka
Place and date of conference: Jyväskylä, Finland, 21.-23.11.2022
ISBN: 978-3-031-21387-8
eISBN: 978-3-031-21388-5
Journal or series: Lecture Notes in Computer Science
ISSN: 0302-9743
eISSN: 1611-3349
Publication year: 2022
Publication date: 14/11/2022
Number in series: 13709
Pages range: 656-661
Number of pages in the book: 682
Publisher: Springer
Place of Publication: Cham
Publication country: Switzerland
Publication language: English
DOI: https://doi.org/10.1007/978-3-031-21388-5_52
Publication open access: Not open
Publication channel open access:
Additional information: Doctoral 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.
Keywords: artificial intelligence; ethics; ethicality; data systems; system design; information technology companies; business models
Free keywords: AI ethics; ethical requirements; AI ethics principles; software businesses; ethical requirement stack
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2022
Parent publication with JYU authors:
- Taibi, D., Kuhrmann, M., Mikkonen, T., Klünder, J., & Abrahamsson, P. (Eds.). (2022). PROFES 2022 : 23rd International Conference on Product-Focused Software Process Improvement, Proceedings. Springer International Publishing. Lecture Notes in Computer Science, 13709. https://doi.org/10.1007/978-3-031-21388-5