Adopting Artificial Intelligence in the Saudi Arabian Public Sector: Preliminary Findings - Responsible AI and Analytics for an Ethical and Inclusive Digitized Society Access content directly
Conference Papers Year : 2021

Adopting Artificial Intelligence in the Saudi Arabian Public Sector: Preliminary Findings

Albandari Alshahrani
  • Function : Author
  • PersonId : 1132817
Denis Dennehy
  • Function : Author
  • PersonId : 1066491
Matti Mäntymäki
  • Function : Author
  • PersonId : 985690

Abstract

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.
Fichier principal
Vignette du fichier
512902_1_En_7_Chapter.pdf (458.45 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03648115 , version 1 (21-04-2022)

Licence

Attribution

Identifiers

Cite

Albandari Alshahrani, Denis Dennehy, Matti Mäntymäki. Adopting Artificial Intelligence in the Saudi Arabian Public Sector: Preliminary Findings. 20th Conference on e-Business, e-Services and e-Society (I3E), Sep 2021, Galway, Ireland. pp.71-81, ⟨10.1007/978-3-030-85447-8_7⟩. ⟨hal-03648115⟩
51 View
12 Download

Altmetric

Share

Gmail Facebook X LinkedIn More