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

dc.contributor.authorToivonen, Nina
dc.contributor.authorSalo-Lahti, Marika
dc.contributor.authorRanta, Mikko
dc.contributor.authorHaapio, Helena
dc.contributor.departmentDigital Economyfi
dc.contributor.departmentDigital Economyen
dc.contributor.orcidhttps://orcid.org/0000-0002-1810-8787
dc.contributor.orcidhttps://orcid.org/0000-0002-9096-1635
dc.date.accessioned2025-11-26T10:06:00Z
dc.date.issued2025
dc.description.abstractTechnology plays a significant role in today’s over-indebtedness. However, its potential to help people overcome debt problems and maintain good financial health remains largely untapped. The need for alternative, personalized solutions to over-indebtedness is becoming increasingly pressing worldwide, especially since many people struggling with debt do not have access to judicial debt rehabilitation programs. This chapter explores how generative AI (GenAI) could support individuals in financial distress. Using the behavioral COM-B model as a framework for designing effective interventions, we discuss how AI could help improve individuals’ capabilities, opportunities, and motivation to achieve financial well-being, and what solutions already exist for these purposes. Inspired by fitness applications that offer personalized advice, we used OpenAI’s GPT Builder to create “Finance Friend,” a simple prototype of a financial adviser, and explored its potential as a personalized financial coach. While the tool shows great promise for the future of financial coaching, we also emphasize the need for trustworthy technology and regulatory frameworks that promote responsible design, implementation, and use of AI in the context of debt rehabilitation.en
dc.description.notification©2025 Springer. This is an Author Accepted Manuscript version of the following chapter: Toivonen, Nina; Salo-Lahti, Marika; Ranta, Mikko; Haapio, Helena, Generative AI for Individuals’ Financial Well-being and Debt Rehabilitation, published in Generative AI, Contracts, Law and Design, edited by M. Corrales Compagnucci, H. Haapio, & M. Fenwick, 2025, Springer Singapore reproduced with permission of Springer. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-981-95-2058-9_8. Users may only view, print, copy, download and text- and data-mine the content, for the purposes of academic research. The content may not be (re-)published verbatim in whole or in part or used for commercial purposes. Users must ensure that the author’s moral rights as well as any third parties’ rights to the content or parts of the content are not compromised.
dc.description.reviewstatusvertaisarvioitufi
dc.embargo.lift2026-11-23
dc.embargo.terms2027-11-23
dc.format.pagerange127-147
dc.identifier.isbn978-981-95-2058-9
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/19243
dc.identifier.urnURN:NBN:fi-fe20251126111659
dc.language.isoen
dc.publisherSpringer
dc.publisher.countryINTERNATIONAL
dc.relation.doihttps://doi.org/10.1007/978-981-95-2058-9_8
dc.relation.isbn978-981-95-2057-2
dc.relation.ispartofGenerative AI, Contracts, Law and Design
dc.relation.ispartofjournalPerspectives in Law, Business and Innovation | Active
dc.relation.issn2520-1883
dc.relation.issn2520-1875
dc.relation.urlhttps://doi.org/10.1007/978-981-95-2058-9_8
dc.relation.urlhttps://urn.fi/URN:NBN:fi-fe20251126111659
dc.source.identifier43743045-fa84-4758-8396-19828489d62e
dc.source.metadataSoleCRIS
dc.subjectAccess to justice
dc.subjectArtificial intelligence
dc.subjectCOM-B model
dc.subjectDebt rehabilitation
dc.subjectFinancial health
dc.subjectFintech
dc.subject.disciplineBusiness Lawen
dc.subject.disciplineTalousoikeusfi
dc.subject.disciplineAccountingen
dc.subject.disciplineLaskentatoimifi
dc.subject.disciplineBusiness Lawen
dc.subject.disciplineTalousoikeusfi
dc.titleGenerative AI for Individuals’ Financial Well-being and Debt Rehabilitation
dc.type.okmA3 Book chapter (peer-reviewed)en
dc.type.okmA3 Kirjan tai muun kokoomateoksen osa (vertaisarvioitu)fi
dc.type.publicationarticle
dc.type.versionacceptedVersion

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