A4 Refereed article in a conference publication
Adopting Artificial Intelligence in the Saudi Arabian Public Sector: Preliminary Findings
Authors: Alshahrani Albandari, Dennehy Denis, Mäntymäki Matti
Conference name: Conference on e-Business, e-Services and e-Society
Publisher: Springer Science and Business Media Deutschland GmbH
Publishing place: Cham
Publication year: 2021
Journal: Lecture Notes in Computer Science
Book title : Responsible AI and Analytics for an Ethical and Inclusive Digitized Society: 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021, Galway, Ireland, September 1–3, 2021, Proceedings
Journal name in source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Series title: Lecture Notes in Computer Science
Volume: 12896
First page : 71
Last page: 81
ISBN: 978-3-030-85446-1
eISBN: 978-3-030-85447-8
ISSN: 0302-9743
DOI: https://doi.org/10.1007/978-3-030-85447-8_7(external)
Artificial Intelligence (AI) has received significant attention in recent years, with claims of unlimited potential across sectors and industries. Despite the media hype about AI, there is limited understanding of how governments can utilize AI for the delivery of value to citizens and what are the barriers and trade-offs that need to be addressed to lead to value realization. AI has the potential to bring transformative benefits to society, but first we need to understand the current state of play in the public sector through an appropriate theoretical lens. We adopt the attention-based view of the organization to identify key challenges in terms of organizational attention. This study draws on a single case study in Saudi Arabia to identify key challenges associated with the adoption of AI.
