A1 Journal article (refereed)
ECCOLA : a method for implementing ethically aligned AI systems (2021)


Vakkuri, V., Kemell, K.-K., Jantunen, M., Halme, E., & Abrahamsson, P. (2021). ECCOLA : a method for implementing ethically aligned AI systems. Journal of Systems and Software, 182, Article 111067. https://doi.org/10.1016/j.jss.2021.111067


JYU authors or editors


Publication details

All authors or editorsVakkuri, Ville; Kemell, Kai-Kristian; Jantunen, Marianna; Halme, Erika; Abrahamsson, Pekka

Journal or seriesJournal of Systems and Software

ISSN0164-1212

eISSN1873-1228

Publication year2021

Volume182

Article number111067

PublisherElsevier

Publication countryUnited States

Publication languageEnglish

DOIhttps://doi.org/10.1016/j.jss.2021.111067

Publication open accessOpenly available

Publication channel open accessPartially open access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/77811


Abstract

Artificial Intelligence (AI) systems are becoming increasingly widespread and exert a growing influence on society at large. The growing impact of these systems has also highlighted potential issues that may arise from their utilization, such as data privacy issues, resulting in calls for ethical AI systems. Yet, how to develop ethical AI systems remains an important question in the area. How should the principles and values be converted into requirements for these systems, and what should developers and the organizations developing these systems do? To further bridge this gap in the area, in this paper, we present a method for implementing AI ethics: ECCOLA. Following a cyclical action research approach, ECCOLA has been iteratively developed over the course of multiple years, in collaboration with both researchers and practitioners.


Keywordsartificial intelligencesystem designmethodsethicsethicality

Free keywordsartificial intelligence; AI ethics; ethics; implementing; method


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Related projects


Ministry reportingYes

VIRTA submission year2021

JUFO rating3


Last updated on 2024-12-10 at 10:45