The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Artificial Intelligence in Public Service Delivery: Innovation, Efficiency, and Inclusion
|
|
Author(s): Satarupa Misra (Presidency College, India), Indumathi Nagesh (Presidency College, India)and Mohammad Juned (Jamia Hamdard, India)
Copyright: 2027
Pages: 25
Source title:
Encyclopedia of Modern Artificial Intelligence
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA)
DOI: 10.4018/407623
Purchase
|
Abstract
In the current scenario, Artificial Intelligence (AI) functions like an octopus, extending its reach into all aspects of governance and society. AI is widely used in public policy, smart cities, law enforcement, the judiciary, and electoral processes. It aids in automating tasks, streamlining operations, and enhancing efficiency by minimizing errors. Algorithms and machine learning models operate behind the scenes to manage complex tasks. In public service delivery—across healthcare, education, transport, and social welfare—AI applications are increasingly visible. Examples include chatbots for service interaction, health record analysis, and personalized medicine. In education, AI supports data-driven research, interactive learning, and modernized teaching. This article highlights AI as a key enabler of digital transformation in governance, focusing on its role in public service delivery. It will also explore AI's accessibility and inclusiveness, address associated risks and ethical concerns, and present global case studies to provide a broader perspective.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|