A4 Article in conference proceedings
Towards a Business Case for AI Ethics (2024)

Agbese, M., Halme, E., Mohanani, R., & Abrahamsson, P. (2024). Towards a Business Case for AI Ethics. In S. Hyrynsalmi, J. Münch, K. Smolander, & J. Melegati (Eds.), Software Business : 14th International Conference, ICSOB 2023, Lahti, Finland, November 27–29, 2023, Proceedings (pp. 231-246). Springer. Lecture Notes in Business Information Processing. https://doi.org/10.1007/978-3-031-53227-6_17

JYU authors or editors

Publication details

All authors or editors: Agbese, Mamia; Halme, Erika; Mohanani, Rahul; Abrahamsson, Pekka

Parent publication: Software Business : 14th International Conference, ICSOB 2023, Lahti, Finland, November 27–29, 2023, Proceedings

Parent publication editors: Hyrynsalmi, Sami; Münch, Jürgen; Smolander, Kari; Melegati, Jorge

Place and date of conference: Lahti, Finland, 27.-29.11.2023

ISBN: 978-3-031-53226-9

eISBN: 978-3-031-53227-6

Journal or series: Lecture Notes in Business Information Processing

ISSN: 1865-1348

eISSN: 1865-1356

Publication year: 2024

Pages range: 231-246

Number of pages in the book: 514

Publisher: Springer

Place of Publication:  Cham

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-031-53227-6_17

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/93508

Abstract

The increasing integration of artificial intelligence (AI) into software engineering (SE) highlights the need to prioritize ethical considerations within management practices. This study explores the effective identification, representation, and integration of ethical requirements guided by the principles of IEEE Std 7000–2021. Collaborating with 12 Finnish SE executives on an AI project in autonomous marine transport, we employed an ethical framework to generate 253 ethical user stories (EUS), prioritizing 177 across seven key requirements: traceability, communication, data quality, access to data, privacy and data, system security, and accessibility. We incorporate these requirements into a canvas model, the ethical requirements canvas. The canvas model serves as a practical business case tool in management practices. It not only facilitates the inclusion of ethical considerations but also highlights their business value, aiding management in understanding and discussing their significance in AI-enhanced environments.

Keywords: artificial intelligence; ethics; software engineering; ethicality; business

Free keywords: AI ethics; artificial intelligence; ethical requirements; IEEE Std 7000–2021; ethical requirements canvas; software engineering

Contributing organizations

Ministry reporting: Yes

VIRTA submission year: 2024

Preliminary JUFO rating: 1