Implementing Ethics in AI: Initial Results of an Industrial Multiple Case Study

  • Ville VakkuriEmail author
  • Kai-Kristian Kemell
  • Pekka Abrahamsson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11915)


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.


Artificial intelligence AI ethics AI development Responsibility Accountability Transparency Behavioral software engineering 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.University of JyväskyläJyväskyläFinland

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