Financial Literacy in the Age of AI: What Libraries Need to Know Now
Robo-advisors now manage retirement savings, AI systems flag fraudulent transactions in real time, and banks are rolling out algorithmic advisory tools faster than most customers — or regulators — can fully evaluate them. Financial literacy, long framed around budgeting and saving, increasingly has to include a basic ability to understand what an AI-driven financial system is actually doing on a person's behalf.
Financial Literacy in the Age of Artificial Intelligence, edited by Pascal Stiefenhofer and Lokman Gunduz (Springer), is a 29-chapter response to that shift. The volume moves from foundational research — bibliometric analysis of the financial literacy field, national literacy strategies, capital market regulation — into the applied territory of AI itself: fraud detection systems, robo-advising, ESG literacy, and the ethical frameworks, including Catholic social teaching and Islamic finance, that shape how different communities approach financial decision-making.
Three applications stand out for readers evaluating the book's practical relevance. First, its treatment of AI-driven fraud detection gives compliance and advisory professionals a research-grounded view of how these systems are actually built and audited. Second, its robo-advising chapters offer a framework for assessing what financial literacy a client needs before delegating decisions to an algorithm. Third, its case studies from Namibia, Indonesia, and Turkey ground the AI discussion in real financial-inclusion outcomes, showing how digital and AI-driven tools are reaching — or failing to reach — underserved populations.
For business and economics libraries, this is a rare single-volume bridge between financial literacy scholarship and fintech practice, current enough to include AI advisory and fraud-detection research that most existing reference collections don't yet cover. It belongs alongside institutional holdings in finance, technology policy, and financial education, and supports coursework spanning fintech, behavioral finance, and development economics.
CLNZ Books sources this title directly from Springer, continuing our work bringing libraries and professionals worldwide the most current scholarship at the intersection of finance and technology — bookseller for professionals worldwide.
Q&A
Q: What does this book cover beyond traditional financial literacy?
A: It extends financial literacy into AI-driven territory — robo-advising, AI fraud detection, ESG literacy, and technology-driven financial inclusion — alongside foundational research and regulation.
Q: Does the book address Islamic finance?
A: Yes, it includes dedicated coverage of Islamic finance frameworks and how faith-based financial principles intersect with financial literacy education.
Q: What real-world case studies are included?
A: The volume includes case studies on financial inclusion and literacy in Namibia, Indonesia, and Turkey.
Q: Who should read this book?
A: Business and economics libraries, finance faculties, fintech researchers, policy makers, and banking and advisory professionals.
Q: How is AI fraud detection covered in the book?
A: A dedicated chapter examines how AI-driven fraud detection systems are built and integrated into banking and advisory platforms, situating this within the broader financial literacy discussion.