A4 Article in conference proceedings
AI Governance and Ethics in Public Procurement : Bridging the Gap Between Theory and Practice (2022)
Von Behr, T., & Abrahamsson, P. (2022). AI Governance and Ethics in Public Procurement : Bridging the Gap Between Theory and Practice. In 2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference. IEEE. https://doi.org/10.1109/ice/itmc-iamot55089.2022.10033173
JYU authors or editors
Publication details
All authors or editors: Von Behr, Timo; Abrahamsson, Pekka
Parent publication: 2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference
Place and date of conference: Nancy, France, 19.-23.6.2022
ISBN: 978-1-6654-8818-1
eISBN: 978-1-6654-8817-4
Publication year: 2022
Publication date: 10/02/2023
Publisher: IEEE
Publication country: United States
Publication language: English
DOI: https://doi.org/10.1109/ice/itmc-iamot55089.2022.10033173
Publication open access: Not open
Publication channel open access:
Abstract
As Artificial Intelligence (AI) systems have become increasingly widespread, research in AI ethics has sparked. When developing the systems, many tools and methods are available for implementing AI ethics in practice. In addition, the research in AI governance is starting to activate, and some models for AI governance have already been introduced. Simultaneously, the role of the information systems (IS) procurement function has developed from its traditional operative role to a more strategic position, as the investments in IT have been on a constant rise. Success in procurement is found to be critical regarding the success of the development and implementation of information systems. But how are the existing tools and methods in AI ethics related to procurement practices? And how is procurement positioned in the proposed AI governance frameworks? This study answers these questions by setting up a research framework based on AI governance models and analyzing existing tools and methods in AI ethics.
Keywords: acquisition; public procurement; data systems; artificial intelligence; ethicality
Free keywords: procurement; ethics; analytical models; artificial intelligence; information systems; investment
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2022
JUFO rating: 1