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Generative AI for Individuals’ Financial Well-being and Debt Rehabilitation

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the challenges of over-indebtedness, highlighting the role of major life events, socioeconomic factors, and behavioral tendencies in driving individuals into debt. It explores how technology, particularly instant loans and digital financial services, has contributed to the rise of 'tech-driven debt traps.' The chapter also discusses the limitations of current debt rehabilitation systems and the potential of generative AI tools to bridge the gap in providing personalized, proactive, and effective financial management solutions. It introduces the COM-B model theory to design AI tools that support debtors' capabilities, opportunities, and motivation. The chapter outlines existing AI solutions for financial management and tests a prototype of a personal financial coach, 'Finance Friend,' using OpenAI's GPT-4. It concludes by emphasizing the need for behaviorally informed, personalized, and technologically advanced solutions to achieve financial well-being and sustainable debt rehabilitation.

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Title
Generative AI for Individuals’ Financial Well-being and Debt Rehabilitation
Authors
Nina Toivonen
Marika Salo-Lahti
Mikko Ranta
Helena Haapio
Copyright Year
2025
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-95-2058-9_8
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