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Full Description
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.
Contents
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
