Reassessing Fairness in Digital Financial Services: A Legal Analysis of The FTX Collapse and Global Consumer Protection Standards
DOI:
https://doi.org/10.47134/jcl.v3i1.5748Keywords:
Consumer Protection, Digital Financial Servic, FTXAbstract
This study analyzes fairness as a normative legal principle in digital financial services, particularly within AI- and blockchain-based ecosystems. Using a normative juridical approach, it examines information asymmetry and its impact on consumer protection. The findings show that digital finance, while enhancing efficiency and inclusion, intensifies asymmetry due to algorithmic complexity, opaque governance, and cross-border operations, weakening consumer protection. The FTX collapse illustrates systemic failures in transparency, accountability, and fair treatment, including misuse of funds and inadequate disclosure, violating principles of informed consent and justice. The study argues that technological advancement does not reduce legal responsibility but demands stronger regulatory frameworks. Normatively, fairness is positioned as an enforceable legal standard integrating transparency, accountability, and consumer protection.
References
Arora, S. D., Arora, P. D., & Fin, M. B. A. (2025). Decentralized Finance ( DeFi ) and Its Impact on Traditional Financial Institutions : A Paradigm Shift in Banking and Investment. 1–10. https://doi.org/10.55041/IJSREM45539
Arvhiari, S. B. (2023). Pengaruh Financial Reporting Quality , Internet Financial Reportin g ( IFR ) dan Transparency Terhadap Information Asymmetry. 1(6).
Bogina, V., Tal, A. S., Hartman, A., & Kuflik, T. (2022). Mitigating Bias in Algorithmic Systems — A Fish-eye View. 55(5). https://doi.org/10.1145/3527152
Business, D., Issue, S., Platforms, E. D., Tokens, N., Finance, D., & Tokens, N. (2025). Digital Business. 5(October 2024). https://doi.org/10.1016/j.digbus.2024.100094
Chang, C. (2022). Information Asymmetry and Card Debt Crisis in Taiwan. 9(2), 123–145.
Chauhan, K. (2025). Decentralized Finance ( DeFi ): Disrupting Traditional Banking Systems and Their Regulatory Challenges. 1(7), 7–11.
Contracting, I., & Selection, A. (n.d.). Insurance Contracting with Adverse Selection and Moral Hazard Zhiqiang Yan and Hongbok Lee 1. 75–100.
Du, X., Hong, J., Tao, H., & Zhang, Y. (2024). Is digital finance always beneficial to accounting information transparency ? Evidence from China Is digital finance always beneficial to accounting information. China Journal of Accounting Studies, 12(2), 276–310. https://doi.org/10.1080/21697213.2024.2347234
Han, L., & Id, Z. Z. (2023). Impact of digital finance on enterprise green innovation : From the perspective of information asymmetry , consumer demand and factor market distortions (Issue September 2020). https://doi.org/10.1371/journal.pone.0295809
Kulkarani, S., Sahana, V., & Pathanjali, P. (2024). Blockchain Enabled Smart Contracts for Digital Assets. 25–32. https://doi.org/10.48175/IJARSCT-15404
Mardjono, A., & Setyawan, I. R. (2025). Moral Hazard , Adverse Selection , and Capital Structure in Fintech Microfinance in Indonesia. 3576, 684–691.
Meng, X. (2025). Enhancing Financial Market Efficiency Through Data Science : Mitigating Information Asymmetry. 0, 65–71. https://doi.org/10.54254/2754-1169/184/2025.BL23228
Muralidhar, A., & Lakkanna, M. (2024). Regulating Cryptocurrency and Decentralized Finance for an Inclusive Economy. 2(1), 1–4.
Nimbalkar, A., Pednekar, A., Kamble, A., & Chilbule, V. (2025). International Journal of Research Publication and Reviews Blockchain and Cryptocurrency. 6(4), 15036–15040.
Okatan, K. (2023). An Overview on Key Digital Assets of Decentralized Finance: Cryptocurrency and NFT. 2023(13), 73–78. https://doi.org/10.17261/Pressacademia.2023.1667
Oyebode, O. (2024). Explainable deep learning integrated with decentralized identity systems to combat bias , enhance trust , and ensure fairness in algorithmic governance. 21(02), 2146–2166.
Practitioner, S. L. (2025). Journal of political stability archive. 3(2), 405–409.
Soldatos, J. (n.d.). Big Data and Artificial Intelligence in Digital Finance.
Tarhini, M. (2021). Application of asset tokenization, smart contracts and decentralized finance in agriculture. Journal of Financial Studies, 6(10), 152–163. https://doi.org/10.55654/jfs.2021.6.10.11
Wang, Y. (2023). Effects of Digital Inclusive Finance on Adverse Selection of Commercial Banks. 13, 323–332.
Weingärtner, L., Hoffmann, A., & Müller, K. (2023). Consumer risks in algorithmic financial services: Understanding DeFi transparency gaps. Journal of Financial Innovation & Consumer Protection, 6(3), 101–124.
Yang, Q., & Lee, Y. (2024). Ethical AI in Financial Inclusion : The Role of Algorithmic Fairness on User Satisfaction and Recommendation.
Zhou, S. (2024). Financial Innovation and Market Transformation in the Age of Digital Finance.
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