Trust and Power in Consumer Credit Relationships
Rethinking Creditworthiness in the Data‑Driven Age
- 2026
- Book
- Author
- Damon Gibbons
- Publisher
- Springer Nature Switzerland
About this book
This book examines the structural asymmetries embedded in contemporary consumer credit systems. Trust—essential to economic exchange—is increasingly withheld from borrowers while demanded of them. Lenders operate with minimal visibility or accountability; borrowers must navigate opaque infrastructures, absorb unilateral judgments, and bear the consequences of exclusion. Over the past two decades, credit markets have expanded through algorithmic risk assessment and automated decision-making. Yet the cost of evaluating ‘creditworthiness’—and the entrenchment of risk-based pricing—has deepened exclusion for those experiencing financial difficulty. Surveillance-based scoring systems discipline borrower behaviour, obscure hardship, and produce reputational harm that reverberates across households and public institutions. At the centre of the book is the Trust Intelligent framework: a seven-domain model for diagnosing and redesigning trust–power configurations in credit relationships. It operationalises trust to reduce systemic risk, improve decision accuracy, and restore borrower agency. Grounded in empirical evidence, the framework supports practical reforms—integrating contextual data into credit files, rendering lender conduct visible, and establishing multistakeholder oversight of algorithmic systems. Rather than accepting the trajectory of deeper data extraction and one-sided surveillance, the book proposes a reciprocal model of information exchange—one that improves outcomes and embeds mutual accountability. It offers a blueprint for reform that is both conceptually rigorous and institutionally actionable. This is a book for those who design, regulate, and critique credit systems: lenders, credit reference agencies, financial regulators, consumer advocates, and scholars of trust, governance, and institutional design. Drawing on economics, sociology, political science, and organisational studies, it presents a multidisciplinary account of how trust can be rebuilt—within and beyond consumer credit.
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Table of Contents
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Frontmatter
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1. Introduction
Damon GibbonsThis chapter examines the complex interplay of trust and power in consumer credit relationships, tracing the evolution from personal trust to statistical risk assessment. It highlights the asymmetry of trust between lenders and borrowers, with lenders exercising significant control through intensive monitoring and reputational systems, while borrowers must place high trust in lenders despite limited power. The chapter also explores how modern data systems and AI-driven profiling amplify these imbalances, leading to potential exploitation and systemic risks. It introduces the concept of 'trust intelligence' as a participatory governance framework to rebalance the credit relationship, proposing practical measures such as integrating borrower voice into decision-making and making lender conduct visible. The chapter concludes by mapping policy recommendations onto the trust-power framework and suggesting wider applications of the trust-intelligence framework in other systems governing access to essential resources.AI Generated
This summary of the content was generated with the help of AI.
AbstractConsumer credit is a central feature of modern economies, yet its relationships can be extractive, leading to over-indebtedness and, collectively, constraining growth. This book interrogates these dynamics, arguing that modern credit systems are defined by a structural asymmetry of trust and power: borrowers must extend high trust, but lenders fail to reciprocate, instead exercising their power to impose data-driven surveillance. This introductory chapter sets this context, establishing trust as the book’s analytical lens and outlining the rationale for a new framework. It introduces what I term ‘trust intelligence’ as a counter-model—a participatory framework designed to shift the system from profit optimisation and unilateral control towards mutual accountability and shared governance. The introduction also signposts the book’s structure, which moves from a theoretical and historical analysis of creditworthiness to an examination of modern challenges and opportunities and the detailed policy reforms required to implement this new framework. -
2. Trust and Power in the Credit Relationship
Damon GibbonsThis chapter delves into the intricate dynamics of trust and power within credit relationships, highlighting how trust serves as the foundation for both cooperation and competition. It explores the two-way nature of trust, where both lenders and borrowers must trust each other, and how this trust interacts with control and power. The chapter introduces a framework for assessing the balance of trust and power in consumer credit relationships, comprising seven domains: coercion at the start of the relationship, the exercise of trustee power, the use of control measures, reliance on guarantors or insurance, opportunities for repeated interaction, the nature of reciprocity, and approaches to handling breaches. The analysis reveals that lenders generally exhibit low levels of trust in borrowers, employing extensive control measures and punitive reporting practices. Conversely, borrowers hold very little power over lenders, making trust essential in their interactions. The chapter also examines the relationship between lenders and credit information providers, noting a more balanced and mutually trusting dynamic. It concludes by discussing the asymmetries of trust and power in credit relationships and their implications for credit markets.AI Generated
This summary of the content was generated with the help of AI.
AbstractThis chapter analyses the consumer credit relationship through the interconnected concepts of trust and power. Drawing on the wider literature, it establishes trust as a reciprocal, two-way process, and introduces a seven-domain framework to assess the balance between trust and power in a relationship: coercion at entry, trustee power, control measures, reliance on guarantors or insurance, opportunities for repeated interaction, reciprocity, and breach handling. Application of this framework reveals a profound asymmetry: lenders exhibit weak trust, relying on rigid contracts, intensive monitoring, and punitive responses, while borrowers must extend high trust despite having little power and being coerced into relationships with credit reporting agencies. This configuration of low lender trust, high borrower trust, and strong lender power results in a system governed by surveillance and conditionality. The analysis provides a critical foundation for the book’s subsequent examination of information asymmetries and the development of its ‘trust intelligence’ approach to reform. -
3. Reputation, Risk, Profit, and Indebtedness
Damon GibbonsThis chapter delves into the intricate dynamics of reputation, risk, and profit in credit relationships, focusing on the power imbalance between lenders and borrowers. It explores how lenders exert considerable trustee power and implement surveillance and control measures to mitigate risk, while borrowers remain vulnerable to lender opportunism and systemic flaws within credit scoring and reporting frameworks. The text examines the processes of reputational and risk assessment, highlighting the importance of reputation in determining creditworthiness. It discusses the concept of information asymmetry, which arises from the fact that borrowers have better knowledge of their true financial situation and intentions than lenders. This asymmetry gives rise to two key problems: adverse selection and moral hazard. Adverse selection occurs when lenders are unable to fully identify risk due to hidden information, leading to a skewed mix of loan applicants and higher losses. Moral hazard involves borrowers acting in ways that maximize their own utility to the detriment of lenders, such as incurring new debts or increasing living costs. The chapter reviews empirical evidence concerning information asymmetries in consumer credit markets, focusing mainly on the U.S. It shows how early assessment practices contributed to the 1920s credit boom and the severity of the Great Depression. In the computer age, creditworthiness assessment shifted from individual character to statistical predictions based on group characteristics. However, while appearing more objective, the selection of information for credit scoring models remains subjective. The chapter also explores how lenders use dynamic contracts and credit reporting systems to penalize borrowers for hazardous actions and reward timely repayments. It discusses the evolution of reputational and risk assessment, highlighting the shift from individually based assessments to statistical predictive calculations. The text concludes by examining the broader danger posed by the focus on profit optimization in credit assessment and the need for regulation to prevent exploitation and ensure responsible lending practices.AI Generated
This summary of the content was generated with the help of AI.
AbstractThis chapter examines the evolution of reputational and risk assessment in consumer credit, detailing the shift from interpersonal judgments to data-driven, profit-optimising systems. It begins by reviewing empirical studies of information asymmetry, focusing on the twin problems of adverse selection and moral hazard. While theory predicts these asymmetries constrain lending, the chapter finds that modern data analytics often enable the opposite: the targeting of price-insensitive borrowers with high-cost products. This can result in ‘advantageous selection,’ where vulnerable yet motivated borrowers accept rates disproportionate to their actual risk. The chapter then traces the historical shift from subjective, character-based judgments to statistical scoring, showing how these tools, combined with securitisation, to increase household debt burdens before the 2008 financial crisis. It also critiques the modern role of credit bureaux as brokers who monetise borrower engagement and finds post-crisis affordability rules are often too weakly defined to prevent significant harms. Ultimately, the chapter concludes that credit assessment has evolved from a trust-based function to a system of profit maximisation that deepens borrower vulnerability and increases systemic risk. -
4. Modern Challenges and the Need for ‘Trust Intelligence’
Damon GibbonsThis chapter delves into the transformation of credit reporting systems from early subjective assessments to today's data-driven models, highlighting the shift from trust-based lending to statistical credit scoring. It critiques modern credit systems for prioritising profitability over fairness, leading to exploitative practices and systemic risks. The chapter introduces 'Trust Intelligence' as a framework to rebalance power dynamics, proposing systemic reforms that foster trust and accountability. Key topics include the evolution of credit reporting, the critique of modern credit systems, the proposal for 'Trust Intelligence', and the challenges and barriers to implementation. The chapter concludes that addressing the dysfunctions in current credit systems requires a fundamental redesign of institutional behaviour, shifting from surveillance to engagement, from profit optimisation to meeting needs, and from unilateral authority to shared governance. This comprehensive analysis provides valuable insights for professionals seeking to understand and navigate the complexities of consumer credit relationships.AI Generated
This summary of the content was generated with the help of AI.
AbstractThis chapter analyses the modern credit data ecosystem, arguing that Big Data, artificial intelligence, and machine learning amplify the structural imbalances at the heart of consumer credit relationships. It details how lenders construct comprehensive digital profiles from granular datasets—including alternative data like rent and utility payments—to enhance profitability, raising critical challenges of opacity, bias, and coerced consent. The chapter critiques how tools promoted for financial inclusion can also be used for exploitation, masking financial hardship and enabling predatory lending. The analysis identifies three core dysfunctions of the current architecture: scoring systems that misrepresent people by optimising for profit rather than context; a one-sided demand for trust in which borrower conduct is intensely monitored while lender behaviour remains invisible; and the individualisation of hardship, which ignores systemic risks. In response, the chapter introduces ‘trust intelligence’ as a participatory, relational governance framework. This approach is built on three foundational shifts: from surveillance to engagement; from profit optimisation to responsiveness; and from unilateral authority to shared governance. Proposals include integrating life-event disclosures into lending decisions, making lender responses to forbearance requests visible on credit files, and establishing independent governance bodies with consumer representation to ensure fairness and mutual accountability. -
5. Conclusions and Recommendations
Damon GibbonsThis chapter explores the dynamics of trust and power in consumer credit relationships, highlighting the inherent imbalances that favour lenders. It delves into the historical evolution of credit systems, from personal relationships to algorithmic decision-making, and the consequences of this shift. The text identifies key domains where trust breaks down, such as coercion at the start of the relationship, the exercise of trustee power, and the use of control measures. It proposes system-level reforms to embed trust into credit relationships, including reducing coercion, ensuring transparent and purposeful use of trustee power, and making control measures context-aware. The chapter also discusses the broader relevance of these issues to other systems governing access to essential resources, such as rental housing and welfare programmes. The conclusion emphasises the need for a fundamental redesign of credit reporting architectures that centres ethical accountability, contextual understanding, and inclusive governance.AI Generated
This summary of the content was generated with the help of AI.
AbstractThis concluding chapter synthesises the book’s preceding analysis and maps proposed policy recommendations back onto the trust-power framework developed in Chapter Two. In doing so, it demonstrates the framework’s utility as both a diagnostic tool for identifying systemic failures and a design tool for constructing reforms. The chapter summarises system-level reforms targeting key domains such as coercion at entry, the exercise of trustee power, and the use of control measures, outlining the benefits of a ‘trust-intelligent’ architecture for borrowers, lenders, and regulators. It also addresses the significant barriers to implementation, including institutional incentives, regulatory pressures, and power imbalances. Finally, the chapter points to the framework’s possible application beyond consumer credit, for example with respect to rental housing and welfare programmes. The chapter concludes with a call for further research and experimentation to build more just, resilient, and trustworthy systems. -
Backmatter
- Title
- Trust and Power in Consumer Credit Relationships
- Author
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Damon Gibbons
- Copyright Year
- 2026
- Publisher
- Springer Nature Switzerland
- Electronic ISBN
- 978-3-032-13957-3
- Print ISBN
- 978-3-032-13956-6
- DOI
- https://doi.org/10.1007/978-3-032-13957-3
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