EconPapers    
Economics at your fingertips  
 

Deep Learning for Government Decision-Making: Foundations, Applications, and Challenges

Ali Amini and Jeff Gill

Chapter 3 in Digital Transformation in Government:Insights, Experiences and Best Practices, 2026, pp 63-94 from World Scientific Publishing Co. Pte. Ltd.

Abstract: The following sections are included:IntroductionFrom Electricity to AI: Historical Lessons in Governing General-Purpose TechnologiesThe Evolution of DL and Government FundingWhy DL Demands Government Attention: Foundations and FrontiersReal-World Applications in Government: Smart Cities and HealthcareTechnical Revolution of Transformer ArchitectureLLMs and Government Decision-MakingDL and the Challenge of Regulation for GovernmentsDL and Healthcare SystemsToward Adaptive and Collaborative RegulationComputational Efficiency and Potential Future BreakthroughsConclusionReferences

Keywords: Digital Transformation; Government; AI; Public Policy; Public Interest Technology; Knowledge Management; Machine Learning; Innovation (search for similar items in EconPapers)
JEL-codes: D83 H11 H83 L86 O33 (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789819818884_0003 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789819818884_0003 (text/html)
Ebook Access is available upon purchase.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789819818884_0003

Ordering information: This item can be ordered from

Access Statistics for this chapter

More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2026-06-18
Handle: RePEc:wsi:wschap:9789819818884_0003