Implementing Ethics in AI : Initial Results of an Industrial Multiple Case Study
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
Published inLecture Notes in Computer Science
© 2019 Springer Nature Switzerland AG
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.
Parent publication ISBN978-3-030-35332-2
ConferenceInternational Conference on Product-Focused Software Process Improvement
Is part of publicationPROFES 2019 : Product-Focused Software Process Improvement : 20th International Conference, Proceedings
ISSN Search the Publication Forum0302-9743
Publication in research information system
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