WSEAS Transactions on Computer Research
Print ISSN: 1991-8755, E-ISSN: 2415-1521
Volume 13, 2025
(Special Issue: Advanced Computational Methods in Administrative and Financial Systems) Deep Fakes in P2PL Services: Assessing Legal Challenges and Data Privacy Risks
Authors: , , , , , , ,
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Abstract: Technological advances in the digital era have various benefits and opportunities, such as the economic or financial sector, with the increasing number of online loan services (OLS) known as Peer To Peer Lending (P2PL). Given the ease of loan application requirements offered by various P2PL, potential risks also arise, namely the misuse of personal data for registration and loan applications with the help of deepfake artificial intelligence technology. The in-depth legal research method with a literature review model has been applied. This paper examines the importance of such preventive actions to avoid the risks arising from using deep fake on P2PL applications. Risk-based thinking is to establish preventive measures, which is essential for the identification and elimination of potential risks. Risk-based thinking, therefore, is of crucial importance in achieving an effective management system and can be obtained through collaboration among regulators such as a complex supervisory regime and also a robust legal framework that can balance between innovation and legal development.
Pages: 469-479
DOI: 10.37394/232018.2025.13.43