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Developing an Ethical Framework for Responsible Artificial Intelligence (AI) and Machine Learning (ML) Applications in Cryptocurrency Trading: A Consequentialism Ethics Analysis

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  • Haris Alibašić

    (Public Administration Program, University of West Florida, 11000 University Pkwy, Pensacola, FL 32514, USA)

Abstract

The rise in artificial intelligence (AI) and machine learning (ML) in cryptocurrency trading has precipitated complex ethical considerations, demanding a thorough exploration of responsible regulatory approaches. This research expands upon this need by employing a consequentialist theoretical framework, emphasizing the outcomes of AI and ML’s deployment within the sector and its effects on stakeholders. Drawing on critical case studies, such as SBF and FTX, and conducting an extensive review of relevant literature, this study explores the ethical implications of AI and ML in the context of cryptocurrency trading. It investigates the necessity for novel regulatory methods that address the unique characteristics of digital assets alongside existing legalities, such as those about fraud and insider trading. The author proposes a typology framework for AI and ML trading by comparing consequentialism to other ethical theories applicable to AI and ML use in cryptocurrency trading. By applying a consequentialist lens, this study underscores the significance of balancing AI and ML’s transformative potential with ethical considerations to ensure market integrity, investor protection, and overall well-being in cryptocurrency trading.

Suggested Citation

  • Haris Alibašić, 2023. "Developing an Ethical Framework for Responsible Artificial Intelligence (AI) and Machine Learning (ML) Applications in Cryptocurrency Trading: A Consequentialism Ethics Analysis," FinTech, MDPI, vol. 2(3), pages 1-14, July.
    • Handle: RePEc:gam:jfinte:v:2:y:2023:i:3:p:24-443:d:1186073
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    References listed on IDEAS

    as
    1. Carroll, Archie B., 1991. "The pyramid of corporate social responsibility: Toward the moral management of organizational stakeholders," Business Horizons, Elsevier, vol. 34(4), pages 39-48.
    2. Helder Sebastião & Pedro Godinho, 2021. "Forecasting and trading cryptocurrencies with machine learning under changing market conditions," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-30, December.
    3. Stalnaker, Robert, 1996. "Knowledge, Belief and Counterfactual Reasoning in Games," Economics and Philosophy, Cambridge University Press, vol. 12(2), pages 133-163, October.
    4. Longbing Cao & Qiang Yang & Philip S. Yu, 2020. "Data science and AI in FinTech: An overview," Papers 2007.12681, arXiv.org, revised Jul 2021.
    5. Robert Z. Aliber & Charles P. Kindleberger & Robert N. McCauley, 2023. "Manias, Panics, and Crashes," Springer Books, Springer, edition 8, number 978-3-031-16008-0, September.
    6. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    7. repec:imf:imfdps:2021/024 is not listed on IDEAS
    8. Ibrahim Musa Unal & Ahmet Faruk Aysan, 2022. "Fintech, Digitalization, and Blockchain in Islamic Finance: Retrospective Investigation," FinTech, MDPI, vol. 1(4), pages 1-11, November.
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