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
© 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.
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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 ...
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