AI in Public Policy and Business

Regular price €192.20
Quantity:
Will Deliver When Available
Shipping & Delivery
AI
Algorithmic Governance
Artificial Intelligence
Category=JPP
Category=KJC
Category=KJMV6
Category=KJS
Category=KJVX
Category=UYQ
Corporate Governance
Data Privacy
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Ethical AI
forthcoming
Predictive Analytics
Public Policy
Regulatory Frameworks
Responsible Innovation
Strategic Management

Product details

  • ISBN 9781041021797
  • Dimensions: 152 x 229mm
  • Publication Date: 11 Jun 2026
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

AI in Public Policy and Business brings together ideas on how artificial intelligence is shaping business, industry, and public policy. Readers should benefit by understanding that investment in AI stack capital is not just a tech expenditure rather it is conducive to developing an asset category, that uplifts the marginal utility on per unit investment (AI as an Asset).

It shows how data risks, governance gaps, and public trust issues mix with innovation. The chapters move from technical foundations to larger questions on privacy, regulatory design, and strategic foresight. The writing tries to connect theory with real-world evidence, including cases from smart cities and autonomous transport networks.

The book is expected to benefit students, academicians, researchers, civil service Officers, and AI professionals who want cross-disciplinary perspectives on how AI is changing diverse paradigms. Instead of only focusing on algorithms, the book explains how ethics or weak regulation can change outcomes, sometimes more than the tech itself. The aim is to give readers tools to think critically, compare models cautiously, and design systems that are safer, more transparent, and future-ready.

Pranjall Jain, Ph.D, CA, CS, B.Com (Hons.), AICA is a specialist in Organizational Analysis and Applied Artificial Intelligence. He is a Civil Servant, working with The Government of India. He has served as special invitee to the Board of Studies, Institute of Chartered Accountants of India (ICAI).

Pooja Jain is a Global AI Expert, thought leader, international author and speaker. She works as a solutions specialist at Google, US and has completed her education from Stanford University and University of California Berkeley. She is the Distinguished Alan Turing Chair Professor at Centre of Excellence for Advanced Artificial Intelligence (CoEAAI). She is the co-founder of The Theory of HR Quantification and a much sought-after speaker on AI and its applications.

Anju Jain is a visiting fellow at Stanford University. In her multifaceted tenure, she has assumed diverse roles, each leaving a profound imprint on the university's journey forward. As a trailblazer of inclusive education and ground breaking research, she has authored 170 research papers, articles, books and presented high impact research papers at more than 100 international conferences.

Pawan Kumar is a Professor in the Department of Marketing at Mittal School of Business, Lovely Professional University, Punjab, India. With 15 years of experience in business academic research, his interests span entrepreneurship, marketing, e-commerce, consumer behavior, and marketing research.