Towards a Business Case for AI Ethics

Mamia Agbese; Erika Halme; Rahul Mohanani; Pekka Abrahamsson

doi:10.1007/978-3-031-53227-6_17

Towards a Business Case for AI Ethics

Mamia Agbese, Erika Halme, Rahul Mohanani, Pekka Abrahamsson

Computing Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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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.

Original language	English
Title of host publication	Software Business - 14th International Conference, ICSOB 2023, Proceedings
Editors	Sami Hyrynsalmi, Jürgen Münch, Kari Smolander, Jorge Melegati
Publisher	Springer
Pages	231-246
Number of pages	16
ISBN (Print)	978-3-031-53226-9
DOIs	https://doi.org/10.1007/978-3-031-53227-6_17
Publication status	Published - 2024
Publication type	A4 Article in conference proceedings
Event	International Conference on Software Business - Lahti, Finland Duration: 27 Nov 2023 → 29 Nov 2023

Publication series

Name	Lecture Notes in Business Information Processing
Volume	500 LNBIP
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Conference

Conference	International Conference on Software Business
Country/Territory	Finland
City	Lahti
Period	27/11/23 → 29/11/23

Keywords

AI ethics
artificial intelligence
ethical requirements
ethical requirements canvas
IEEE Std 7000–2021
software engineering

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Management Information Systems
Control and Systems Engineering
Business and International Management
Information Systems
Modelling and Simulation
Information Systems and Management

Access to Document

10.1007/978-3-031-53227-6_17Licence: CC BY

Towards a Business Case for AI EthicsFinal published version, 1.35 MBLicence: CC BY

https://urn.fi/URN:NBN:fi:tuni-202409178759Licence: CC BY

Cite this

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, Proceedings (pp. 231-246). (Lecture Notes in Business Information Processing; Vol. 500 LNBIP). Springer. https://doi.org/10.1007/978-3-031-53227-6_17

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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.",

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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, Proceedings. Lecture Notes in Business Information Processing, vol. 500 LNBIP, Springer, pp. 231-246, International Conference on Software Business, Lahti, Finland, 27/11/23. https://doi.org/10.1007/978-3-031-53227-6_17

Towards a Business Case for AI Ethics. / Agbese, Mamia; Halme, Erika; Mohanani, Rahul et al.
Software Business - 14th International Conference, ICSOB 2023, Proceedings. ed. / Sami Hyrynsalmi; Jürgen Münch; Kari Smolander; Jorge Melegati. Springer, 2024. p. 231-246 (Lecture Notes in Business Information Processing; Vol. 500 LNBIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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