ExplainabilityPrivacyFairnesscs.CR
DeFi TrustBoost: Blockchain and AI for Trustworthy Decentralized Financial Decisions
Swati Sachan, Dale S. Fickett
November 28, 2025
arXiv.org
Key Takeaways
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AI decisions in lending can now be audited and verified: The framework introduces a tamper-proof auditing technique that creates permanent, verifiable records of how AI systems make lending decisions, addressing a major concern about automated decision-making in financial services where borrowers need to understand why they were approved or denied.
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Privacy and data protection are built into the system from the start: By combining blockchain with careful data storage strategies (both on-chain and off-chain), the framework protects sensitive financial information about low-wealth households while still allowing lenders to make informed decisions, helping balance innovation with compliance with data protection laws.
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The system is designed to resist manipulation and fraud: The framework specifically addresses resistance to adversarial attacks, meaning it's built to withstand attempts by bad actors to game the system or manipulate lending decisions, which is particularly important when serving vulnerable populations.
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Explainability makes AI lending decisions more trustworthy: By emphasizing Explainable AI, the framework ensures that lending decisions aren't "black boxes"—borrowers and regulators can understand the reasoning behind automated decisions, which is essential for fair treatment and regulatory compliance in financial services.
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Multiple organizations can collaborate securely: The framework enables banks and lenders to work together and share insights while maintaining confidentiality and regulatory compliance, potentially improving lending access for small businesses from low-wealth households without compromising security.