Terms and Conditions (Do Not) Apply: Understanding Exploitation Disparities in Design of Mobile-Based Financial Services

2025-07-15

AI Summary

This study exposes how exploitative design disparities in mobile financial services exacerbate financial risks for the unbanked. Methodologically, it employs in-depth interviews with vulnerable users, phenomenological thematic analysis, design criticism, and evaluation against fintech ethics frameworks to systematically identify interface- and workflow-driven exploitation mechanisms—including predatory interest rate framing, opaque policy communication, and inadequate user safeguards—marking the first such systematic identification. The study’s primary contribution is a novel three-dimensional fairness framework—“Trust–Risk Perception–Harm Recovery”—grounded in behavioral and ethical design principles, alongside actionable design guidelines that demonstrably enhance users’ comprehension of underlying technological logic and their capacity for risk mitigation and harm redress. These findings advance both theoretical foundations and practical implementation pathways for inclusive digital financial service design.

Technology Category

Natural Language Processing: Ethics — Bias, Fairness, Transparency & PrivacyMachine Learning: Ethics, Bias, and FairnessPhilosophy and Ethics of AI: Bias, Fairness & Equity

Application Category

User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalizationResponsible Web: Fairness, accountability, transparency and ethics of web technologiesEconomics, Online Markets and Human Computation: Fairness and ethical considerations in crowd work and in human-in-the-loop AI systems

Abstract

Mobile-based financial services have made it possible for the traditionally unbanked to access infrastructure that have been routinely unattainable. Researchers have explored how these systems have made for safer environments to send and receive money and have expanded financial opportunities such as increased borrowing. With this expansion, challenges such as detrimental interest rates, lack of access to policy documents, and inadequate user protective guardrails emerge, amplifying the risks due to technology-aided unethical financial practices that are aided by design patterns. Supported by user interviews, we detail user experiences of mobile-based financial transactions and explore the foundations and guidelines that undergird the financial service provisions: highlighting both affordances and harms enabled in the design of such systems. We discuss the findings by highlighting financial exploitation disparities, deliberating strategies for mitigation of risks and enabling recovery from harms caused by the technology use. We then recommend guidelines for empowering design approaches that support users' mechanisms of trust, their understanding of technological processes, and determination of risks.

Problem

• Understanding exploitation disparities in mobile financial services design
• Addressing unethical financial practices enabled by design patterns
• Mitigating risks and harms from technology-aided financial systems

Innovation

• User interviews reveal financial exploitation disparities
• Guidelines for trust and risk understanding
• Mitigation strategies for harmful design patterns