This paper provides a baseline for ethics in AI based software development by reporting results from an industrial multiple case study on AI systems development in the health care sector, and explores the current state of practice out on the field in the absence of formal methods and tools for ethically aligned design.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· arXiv.org· 2 citations
An overview of the trends driving the transition to focusing on effectiveness is provided, the challenges that companies experience as well as the requirements for a successful transformation are discussed.
Sami Hyrynsalmi, Mari Suoranta, Anh Nguyen-Duc et al.· Lecture Notes in Business In...· 1 citation
It is found that the key conditions for making these blockchain-based solutions viable are attaining technological maturity and competences, ecosystem thinking and adequate governance of these ecosystems, and finally (3) achieving legal and regulatory predictability.
Taija Kolehmainen, Gabriella Laatikainen, Joni Kultanen et al.· International Conference on...· 9 citations
A holistic view of an iterative, continuous approach to develop industrial AI software basing on business goals, requirements and Minimum Viable Products is described and a research agenda with seven questions for future studies is proposed.
Anh Nguyen-Duc, P. Abrahamsson· ESEC/SIGSOFT FSE· 9 citations
In this chapter, the results of a multi-vocal literature review are presented to offer 118 metrics practitioner experts think software startups should measure that can give you ideas for what your startup should measure.
Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen-Duc et al.· 0 citations
It is argued that AI software is still software and needs to be approached from the software development perspective, and whether the focus should be on AI ethics or the quality of an AI system, called a maturity model for the development of AI systems is discussed.
Ville Vakkuri, Marianna Jantunen, Erika Halme et al.· SafeAI@AAAI· 17 citations· ⚡1
