Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
AI-enhanced fresh starts: Proactive financial health care with AI as a personalized coach
University of Helsinki, Faculty of Law, Helsingin, Finland; Helsingin Yliopisto, Helsinki, Finland.
University of Vaasa, School of Accounting and Finance, Business Law, Vaasa, Finland.
University of Vaasa, School of Accounting and Finance, Accounting, Vaasa, Finland.ORCID iD: 0000-0002-9096-1635
University of Lapland, Faculty of Law, Helsinki, Finland; University of Vaasa, School of Accounting and Finance, Business Law, Helsinki, Finland; Lexpert Ltd., Helsinki, Finland.
2024 (English)In: Jusletter IT, ISSN 1664-848X, p. 77-84Article in journal (Refereed) Published
Abstract [en]

This paper explores how AI can be used to help individuals in financial distress to overcome debt. Using the behavioral COM-B model as a framework for designing effective interventions, we discuss how AI can help improve individuals'capabilities, opportunities and motivation to sustain better financial health, and what solutions already exist for these purposes. To demonstrate the unleashed potential of AI in debt rehabilitation we conduct an experiment with OpenAI's GPT-4, an AI model, to assess its proficiency as a personalized financial coach. While the potential of AI to support debt rehabilitation becomes evident, we also argue for the need for trustworthy technology and trust-building regulation that promotes the responsible design, implementation and use of AI in the financial sector. 

Place, publisher, year, edition, pages
Editions Weblaw , 2024. p. 77-84
Keywords [en]
artificial intelligence, COM-B model, debt rehabilitation, design, financial health, financial literacy, fintech, proactive care
National Category
Economics and Business Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hj:diva-70033DOI: 10.38023/535a7a3d-c752-4a6b-a249-161c04ecd031Scopus ID: 2-s2.0-85194746817OAI: oai:DiVA.org:hj-70033DiVA, id: diva2:2010282
Available from: 2025-10-30 Created: 2025-10-30 Last updated: 2025-10-30Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Ranta, Mikko

Search in DiVA

By author/editor
Ranta, Mikko
Economics and BusinessComputer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 48 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf