A4 Article in conference proceedings
Implementing Ethics in AI : Initial Results of an Industrial Multiple Case Study (2019)

Vakkuri, V., Kemell, K.-K., & Abrahamsson, P. (2019). Implementing Ethics in AI : Initial Results of an Industrial Multiple Case Study. In X. Franch, T. Männistö, & S. Martínez-Fernández (Eds.), PROFES 2019 : Product-Focused Software Process Improvement : 20th International Conference, Proceedings (pp. 331-338). Springer. Lecture Notes in Computer Science, 11915. https://doi.org/10.1007/978-3-030-35333-9_24

JYU authors or editors

Publication details

All authors or editors: Vakkuri, Ville; Kemell, Kai-Kristian; Abrahamsson, Pekka

Parent publication: PROFES 2019 : Product-Focused Software Process Improvement : 20th International Conference, Proceedings

Parent publication editors: Franch, Xavier; Männistö, Tomi; Martínez-Fernández, Silverio

Place and date of conference: Barcelona, Spain, 27.-29.11.2019

ISBN: 978-3-030-35332-2

eISBN: 978-3-030-35333-9

Journal or series: Lecture Notes in Computer Science

ISSN: 0302-9743

eISSN: 1611-3349

Publication year: 2019

Number in series: 11915

Pages range: 331-338

Number of pages in the book: 571

Publisher: Springer

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-030-35333-9_24

Publication open access: Not open

Publication channel open access: 

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/67322

Abstract

Artificial intelligence (AI) is becoming increasingly widespread in system development endeavors. As AI systems affect various stakeholders due to their unique nature, the growing influence of these systems calls for ethical considerations. Academic discussion and practical examples of autonomous system failures have highlighted the need for implementing ethics in software development. However, research on methods and tools for implementing ethics into AI system design and development in practice is still lacking. This paper begins to address this focal problem by providing elements needed for producing a baseline for ethics in AI based software development. We do so by means of an industrial multiple case study on AI systems development in the healthcare sector. Using a research model based on extant, conceptual AI ethics literature, we explore the current state of practice out on the field in the absence of formal methods and tools for ethically aligned design.

Keywords: artificial intelligence; ethics; system design; software development; responsibility (properties); transparency

Free keywords: artificial intelligence; AI ethics; AI development; responsibility; accountability; transparency; behavioral software engineering

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2019

JUFO rating: 1