A4 Article in conference proceedings
ECCOLA : a Method for Implementing Ethically Aligned AI Systems (2020)


Vakkuri, Ville; Kemell, Kai-Kristian; Abrahamsson, Pekka (2020). ECCOLA : a Method for Implementing Ethically Aligned AI Systems. In Martini, Antonio; Wimmer, Manuel; Skavhaug, Amund (Eds.) SEAA 2020 : 46th Euromicro Conference on Software Engineering and Advanced Applications, Euromicro Conference on Software Engineering and Advanced Applications. IEEE, 195-204. DOI: 10.1109/seaa51224.2020.00043


JYU authors or editors


Publication details

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

Parent publication: SEAA 2020 : 46th Euromicro Conference on Software Engineering and Advanced Applications

Parent publication editors: Martini, Antonio; Wimmer, Manuel; Skavhaug, Amund

Conference:

Euromicro Conference on Software Engineering and Advanced Applications

Place and date of conference: Portoroz, Slovenia, 26.-28.8.2020

ISBN: 978-1-7281-9533-9

eISBN: 978-1-7281-9532-2

Journal or series: Euromicro Conference on Software Engineering and Advanced Applications

ISSN: 1089-6503

eISSN: 2376-9505

Publication year: 2020

Pages range: 195-204

Number of pages in the book: 596

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/seaa51224.2020.00043

Open Access: Publication channel is not openly available


Abstract

Various recent Artificial Intelligence (AI) system failures, some of which have made the global headlines, have highlighted issues in these systems. These failures have resulted in calls for more ethical AI systems that better take into account their effects on various stakeholders. However, implementing AI ethics into practice is still an on-going challenge. High-level guidelines for doing so exist, devised by governments and private organizations alike, but lack practicality for developers. To address this issue, in this paper, we present a method for implementing AI ethics. The method, ECCOLA, has been iteratively developed using a cyclical action design research approach. The method aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.


Keywords: artificial intelligence; system design; planning methods; ethics

Free keywords: Artificial Intelligence; AI ethics; ethics; implementing; method


Contributing organizations


Ministry reporting: Yes

Preliminary JUFO rating: 1


Last updated on 2020-28-10 at 14:01