AI Ethics in Industry : A Research Framework
Vakkuri, V., Kemell, K.-K., & Abrahamsson, P. (2019). AI Ethics in Industry : A Research Framework. In M. M. Rantanen, & J. Koskinen (Eds.), Tethics 2019 : Proceedings of the Third Seminar on Technology Ethics. RWTH Aachen University. CEUR Workshop Proceedings, 2505. http://ceur-ws.org/Vol-2505/paper06.pdf
Published in
CEUR Workshop ProceedingsDate
2019Copyright
© 2019 Authors
Artificial Intelligence (AI) systems exert a growing influence on our society. As they become more ubiquitous, their potential negative impacts also become evident through various real-world incidents. Following such early incidents, academic and public discussion on AI ethics has highlighted the need for implementing ethics in AI system development. However, little currently exists in the way of frameworks for understanding the practical implementation of AI ethics. In this paper, we discuss a research framework for implementing AI ethics in industrial settings. The framework presents a starting point for empirical studies into AI ethics but is still being developed further based on its practical utilization.
Publisher
RWTH Aachen UniversityConference
Seminar on Technology EthicsIs part of publication
Tethics 2019 : Proceedings of the Third Seminar on Technology EthicsISSN Search the Publication Forum
1613-0073Keywords
Original source
http://ceur-ws.org/Vol-2505/paper06.pdfPublication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/34055891
Metadata
Show full item recordCollections
License
Related items
Showing items with similar title or keywords.
-
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 ... -
Bridging human and machine learning for the needs of collective intelligence development
Gavriushenko, Mariia; Kaikova, Olena; Terziyan, Vagan (Elsevier, 2020)There are no doubts that artificial and human intelligence enhance and complement each other. They are stronger together as a team of Collective (Collaborative) Intelligence. Both require training for personal development ... -
Artificial General Intelligence vs. Industry 4.0 : Do They Need Each Other?
Kumpulainen, Samu; Terziyan, Vagan (Elsevier, 2022)Artificial Intelligence (AI) is known to be a driving force behind the Industry 4.0. Nowadays the current hype on development and industrial adoption of the AI systems is mostly associated with the deep learning, i.e., ... -
Explainable AI for Industry 4.0 : Semantic Representation of Deep Learning Models
Terziyan, Vagan; Vitko, Oleksandra (Elsevier, 2022)Artificial Intelligence is an important asset of Industry 4.0. Current discoveries within machine learning and particularly in deep learning enable qualitative change within the industrial processes, applications, systems ... -
AI as a User of AI : Towards Responsible Autonomy
Shukla, Amit K.; Terziyan, Vagan; Tiihonen, Timo (Elsevier, 2024)Recent advancements in Artificial Intelligence (AI), particularly in generative language models and algorithms, have led to significant impacts across diverse domains. AI capabilities to address prompts are growing beyond ...