Background and Aim: The rise of artificial intelligence and machine learning in digital currency transactions has created complex ethical considerations that require a thorough review of responsible regulatory approaches. This research has expanded this need by using a result-oriented theoretical framework, emphasizing the results of the deployment of artificial intelligence and machine learning in this sector and its effects on the stakeholders, and relying on important case studies, such as Sam Bankman and An extensive review of relevant sources examines the ethical implications of artificial intelligence and machine learning in the context of cryptocurrency trading.
Materials and Methods: The present research is practical in terms of its purpose and as a research tool, it is documentary and library, and the information collected using library resources that have been analyzed by descriptive-analytical method.
Ethical Considerations: In this article, the originality of the texts, honesty and trustworthiness are respected.
Findings: Using a consequentialist perspective, this study emphasizes the importance of balancing the transformative potential of artificial intelligence and machine learning with ethical considerations to ensure market integrity, investor protection, and overall well-being in digital currency transactions.
Conclusion: By comparing consequentialism with other ethical theories that can be used to exploit artificial intelligence and machine learning in digital currency trading, the author proposes a framework for the typology of artificial intelligence and machine learning trading.