ECCOLA : a Method for Implementing Ethically Aligned AI Systems
Vakkuri, V., Kemell, K.-K., & Abrahamsson, P. (2020). ECCOLA : a Method for Implementing Ethically Aligned AI Systems. In A. Martini, M. Wimmer, & A. Skavhaug (Eds.), SEAA 2020 : 46th Euromicro Conference on Software Engineering and Advanced Applications (pp. 195-204). IEEE. Euromicro Conference on Software Engineering and Advanced Applications. https://doi.org/10.1109/seaa51224.2020.00043
Date
2020Copyright
© 2020 IEEE
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.
Publisher
IEEEParent publication ISBN
978-1-7281-9533-9Conference
Is part of publication
SEAA 2020 : 46th Euromicro Conference on Software Engineering and Advanced ApplicationsISSN Search the Publication Forum
1089-6503Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/43384929
Metadata
Show full item recordCollections
License
Related items
Showing items with similar title or keywords.
-
ECCOLA : a method for implementing ethically aligned AI systems
Vakkuri, Ville; Kemell, Kai-Kristian; Jantunen, Marianna; Halme, Erika; Abrahamsson, Pekka (Elsevier, 2021)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 ... -
Design Systems for Intelligent Technology
Myllylä, Mari; Karvonen, Antero; Koskinen, Hanna (AHFE international, 2024)Intelligent technology seems poised to emerge with unprecedented force across many domains of human activity. Advanced technologies (e.g. artificial intelligence (AI)–based applications and services) hold great promise to ... -
Governance of Ethical and Trustworthy Al Systems : Research Gaps in the ECCOLA Method
Agbese, Mamia; Alanen, Hanna-Kaisa; Antikainen, Jani; Halme, Erika; Isomäki, Hannakaisa; Jantunen, Marianna; Kemell, Kai-Kristian; Rousi, Rebekah; Vainio-Pekka, Heidi; Vakkuri, Ville (IEEE, 2021)Advances in machine learning (ML) technologies have greatly improved Artificial Intelligence (Al) systems. As a result, Al systems have become ubiquitous, with their application prevalent in virtually all sectors. However, ... -
Implementing Ethics in AI : Initial Results of an Industrial Multiple Case Study
Vakkuri, Ville; Kemell, Kai-Kristian; Abrahamsson, Pekka (Springer, 2019)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 ... -
Implementing AI Ethics in Practice : An Empirical Evaluation of the RESOLVEDD Strategy
Vakkuri, Ville; Kemell, Kai-Kristian (Springer, 2019)As Artificial Intelligence (AI) systems exert a growing influence on society, real-life incidents begin to underline the importance of AI Ethics. Though calls for more ethical AI systems have been voiced by scholars and ...