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 editorsVon Behr, Timo; Abrahamsson, Pekka

Parent publication2022 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 conferenceNancy, France19.-23.6.2022

ISBN978-1-6654-8818-1

eISBN978-1-6654-8817-4

Publication year2022

Publication date10/02/2023

PublisherIEEE

Publication countryUnited States

Publication languageEnglish

DOIhttps://doi.org/10.1109/ice/itmc-iamot55089.2022.10033173

Publication open accessNot 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.


Keywordsacquisitionpublic procurementdata systemsartificial intelligenceethicality

Free keywordsprocurement; ethics; analytical models; artificial intelligence; information systems; investment


Contributing organizations


Ministry reportingYes

Reporting Year2022

JUFO rating1


Last updated on 2024-03-04 at 19:36