Ethical considerations of AI in financial decision

  • Yifei Wang School of Information, University of California, Berkeley, CA 94720, USA
Ariticle ID: 1290
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Keywords: ethics; artificial intelligence; financial decision

Abstract

The integration of artificial intelligence (AI) in financial decision-making processes has significantly enhanced the efficiency and scope of services in the finance sector. However, the rapid adoption of AI technologies raises complex ethical questions that need thorough examination. This paper explores the ethical challenges posed by AI in finance, including issues related to bias and fairness, transparency and explainability, accountability, and privacy. These challenges are scrutinized within the framework of current regulatory and ethical guidelines such as the General Data Protection Regulation (GDPR) and the Fair Lending Laws in the United States. Despite these frameworks, gaps remain that could potentially compromise the equity and integrity of financial services. The paper proposes enhancements to existing ethical frameworks and introduces new recommendations for ensuring that AI technologies foster ethical financial practices. By emphasizing a proactive approach to ethical considerations, this study aims to contribute to the ongoing discourse on maintaining trust and integrity in AI-driven financial decisions, ultimately proposing a pathway towards more robust and ethical AI applications in finance.

References

[1] Wachter S, Mittelstadt B, Floridi L. Transparent, explainable, and accountable AI for robotics. Science Robotics. 2017; 2(6). doi: 10.1126/scirobotics.aan6080

[2] Hurley M, Adebayo J. Credit scoring in the era of big data. Yale Journal of Law and Technology. 2016; 18: 148-216.

[3] Burrell J. How the machine ‘thinks’: Understanding opacity in machine learning algorithms. Big Data & Society. 2016; 3(1): 205395171562251. doi: 10.1177/2053951715622512

[4] Goodman B, Flaxman S. European Union Regulations on Algorithmic Decision Making and a “Right to Explanation.” AI Magazine. 2017; 38(3): 50-57. doi: 10.1609/aimag.v38i3.2741

[5] Pasquale F. The Black Box Society: The Secret Algorithms That Control Money and Information. Harvard University Press; 2015.

[6] Martin K. Ethical Implications and Accountability of Algorithms. Journal of Business Ethics. 2018; 160(4): 835-850. doi: 10.1007/s10551-018-3921-3

[7] Barocas S, Selbst AD. Big data’s disparate impact. California Law Review. 2016; 104: 671.

[8] Castelvecchi D. Can we open the black box of AI? Nature. 2016; 538(7623): 20-23. doi: 10.1038/538020a

[9] Doshi-Velez F, Kortz M, Budish R, et al. Accountability of AI under the law: The role of explanation. Berkman Klein Center Research Publication; 2017.

[10] Taylor L, Floridi L, van der Sloot B. Group privacy: New challenges of data technologies. Philosophical Transactions of the Royal Society A. 2017; 374(2083).

[11] OECD. OECD Principles on Artificial Intelligence. OECD Publishing, Paris; 2019.

[12] IEEE. Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems. IEEE; 2019.

[13] Babaei G, Giudici P, Raffinetti E. Explainable FinTech lending. Journal of Economics and Business. 2023; 125-126: 106126. doi: 10.1016/j.jeconbus.2023.106126

[14] Giudici P, Centurelli M, Turchetta S. Artificial Intelligence risk measurement. Expert Systems with Applications. 2024; 235: 121220. doi: 10.1016/j.eswa.2023.121220

[15] Babaei G, Giudici P, Raffinetti E. Explainable artificial intelligence for crypto asset allocation. Finance Research Letters. 2022; 47: 102941. doi: 10.1016/j.frl.2022.102941

[16] Zeng Y. Pathways to Convergence: A Future Envisioned by Ethical AI. Journal of Future Technology. 2019; 1(2): 89-95.

[17] Raji ID, Smart A, White RN, et al. Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing. In: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency.

[18] Gunning D, Stefik M, Choi J, et al. XAI—Explainable artificial intelligence. Science Robotics. 2019; 4(37). doi: 10.1126/scirobotics.aay7120

[19] Cath C. Governing artificial intelligence: ethical, legal and technical opportunities and challenges. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2018; 376(2133): 20180080. doi: 10.1098/rsta.2018.0080

[20] Jobin A, Ienca M, Vayena E. The global landscape of AI ethics guidelines. Nature Machine Intelligence. 2019; 1(9): 389-399. doi: 10.1038/s42256-019-0088-2

Published
2024-06-28
How to Cite
Wang, Y. (2024). Ethical considerations of AI in financial decision. Computing and Artificial Intelligence, 2(1), 1290. https://doi.org/10.59400/cai.v2i1.1290
Section
Article