AI in Public Policy and Business

Strategies, Ethics, and Impact
1. Auflage 2026
ISBN: 978-1-041-02179-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 235 Seiten, Format (B × H): 152 mm x 229 mm

Reihe: Routledge Studies in Management, Organizations and Society

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 discussing 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 technology 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.

Zielgruppe

Postgraduate

Autoren/Hrsg.

Jain, Pranjall

Jain, Pooja

Jain, Anju

Kumar, Pawan

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Sozialwissenschaften Politikwissenschaft Regierungspolitik
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmenskultur, Corporate Governance
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmensethik

Inhaltsverzeichnis

PART I — FOUNDATIONS & STRATEGIC INFRASTRUCTURE Chapter 1: AI-as-an-Asset: Strategic Infrastructure for Governance and Enterprise Systems Chapter 2: Adaptive AI Systems: Evolution from Narrow to Agentic Intelligence for Institutional Agility PART II — AI IN PUBLIC POLICY & GOVERNANCE Chapter 3: AI for Social Welfare: Policy Frameworks for Ethical and Responsible AI in India, Lithuania, Slovenia, Estonia, and the United Kingdom Chapter 4: AI for Public Service Delivery: Strategic and Cross-Sector Models from Zambia Chapter 5: AI for Environmental Policy and Climate Governance Chapter 6: AI for Sustainable Mobility Systems: A Systematic Review (2010–2025) Chapter 7: AI for Education: Augmenting Pedagogy, Creativity, and Institutional Learning Systems PART III — AI IN BUSINESS STRATEGY & ENTERPRISE TRANSFORMATION Chapter 8: AI in Strategic Management: Value Creation, Institutional Scale, and Competitive Advantage Chapter 9: AI For Human Capital Governance: Exploring the Role of Conversational AI For Workforce Transformation Chapter 10: AI for Customer Experience Systems: Intelligent Interfaces, Service Optimization, and Experience Design Chapter 11: AI in Financial Systems: Risk Intelligence, Compliance, and Sectoral Transformation Chapter 12: AI For Actuarial Intelligence: Data-Driven AI Architecture for Insurance Systems Chapter 13: AI in Consumer Intelligence Systems: Behavioral Analytics, Demand Sensing, and Market Foresight

Über Autor(innen)

Pranjall Jain, PhD, 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 a 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, Stanford, California, US, and University of California Berkeley, Berkeley, US. She is the Distinguished Alan Turing Chair Professor at Centre of Excellence for Advanced Artificial Intelligence (CoEAAI). She is the cofounder of the Theory of HR Quantification and a much sought-after speaker on AI and its applications.

Anju Jain is a Professor at University of Delhi. 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, and books and has presented high-impact research papers at more than 100 international conferences.

Pawan Kumar is 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.