DeFi TrustBoost: Blockchain and AI for Trustworthy Decentralized Financial Decisions

Sachan, Swati ORCID: 0000-0003-0136-0553 and Fickett, Dale S (2025) DeFi TrustBoost: Blockchain and AI for Trustworthy Decentralized Financial Decisions [Preprint]

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Abstract

This research introduces the Decentralized Finance (DeFi) TrustBoost Framework, which combines blockchain technology and Explainable AI to address challenges faced by lenders underwriting small business loan applications from low-wealth households. The framework is designed with a strong emphasis on fulfilling four crucial requirements of blockchain and AI systems: confidentiality, compliance with data protection laws, resistance to adversarial attacks, and compliance with regulatory audits. It presents a technique for tamper-proof auditing of automated AI decisions and a strategy for on-chain (inside-blockchain) and off-chain data storage to facilitate collaboration within and across financial organizations.

Item Type:	Preprint
Additional Information:	19 pages
Uncontrolled Keywords:	cs.CR, cs.CR, cs.AI, q-fin.CP, q-fin.GN
Divisions:	Faculty of Humanities & Social Sciences Faculty of Humanities & Social Sciences > School of Management Faculty of Humanities & Social Sciences > Faculty of Humanities & Social Sci (All T&R Staff) Faculty of Humanities & Social Sciences > School of Management > Finance and Accounting Faculty of Humanities & Social Sciences > School of Management > School of Management (T&R Staff)
Depositing User:	Symplectic Admin
Date Deposited:	17 Mar 2026 16:26
Last Modified:	23 May 2026 10:48
DOI:	10.48550/arxiv.2512.00142
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3197572
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