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 editorsVakkuri, Ville; Kemell, Kai-Kristian; Abrahamsson, Pekka

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

Parent publication editorsFranch, Xavier; Männistö, Tomi; Martínez-Fernández, Silverio

Place and date of conferenceBarcelona, Spain27.-29.11.2019

ISBN978-3-030-35332-2

eISBN978-3-030-35333-9

Journal or seriesLecture Notes in Computer Science

ISSN0302-9743

eISSN1611-3349

Publication year2019

Number in series11915

Pages range331-338

Number of pages in the book571

PublisherSpringer

Place of PublicationCham

Publication countrySwitzerland

Publication languageEnglish

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

Publication open accessNot 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.


Keywordsartificial intelligenceethicssystem designsoftware developmentresponsibility (properties)transparency

Free keywordsartificial intelligence; AI ethics; AI development; responsibility; accountability; transparency; behavioral software engineering


Contributing organizations


Ministry reportingYes

Reporting Year2019

JUFO rating1


Last updated on 2024-11-05 at 22:06