Twigging the Global Character of AI in Public Sector: Opportunities and Thresholds
Mumtaz Ahmad Shah (),
Inamul Haq and
Adil Rasool ()
Additional contact information
Mumtaz Ahmad Shah: Presidency University
Inamul Haq: Kashmir Research Information System
Adil Rasool: Bakhtar University
Chapter Chapter 16 in Green Horizons, 2025, pp 287-303 from Springer
Abstract:
Abstract The use of Artificial intelligence (AI) has become an expected part of the contemporary world. Countries are leveraging AI technology to complement their existing e-governance initiatives, to increase productivity in the public sector. This study explores how AI is being applied across different countries’ public sectors and locates the vital global practices that can serve as models for e-governance in the public sector. The research examines AI’s use in various domains, including anti-corruption, auditing, citizen engagement, tax policy, tax compliance, customs, and healthcare. Nevertheless, like any IT tool, AI is not without risks. This study also takes into account the current challenges that have emerged during AI usage, such as trust, bias, cybersecurity, control, and privacy. By examining both the pros and cons associated with AI implementation, this research seeks to examine the public value of using AI in the public sector.
Keywords: Artificial intelligence AI in public sectors; E-governance; Tax policy; Tax compliance; Customs; Corruption (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:sprchp:978-981-96-6495-5_16
Ordering information: This item can be ordered from
http://www.springer.com/9789819664955
DOI: 10.1007/978-981-96-6495-5_16
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().