Forging an Ethical Paradigm With Moral Integrity in the Realm of Crypto Currency Investment

Abstract

The integration of AIML in cryptocurrency trading raises ethical concerns, demanding a thorough examination of accountable approaches. This research focuses on evaluating the outcomes of AI and ML in cryptocurrency trading, emphasizing the need for innovative regulatory strategies. Utilizing critical case studies like Sam Bankman-Fried (SBF) and FTX and reviewing relevant literature, it explores the ethical dimensions of AI and ML in this domain. The study advocates for regulatory frameworks that accommodate digital assets' unique features while aligning with existing legal structures. It proposes a structural framework for AI and ML-driven trading, juxtaposing it with alternative ethical theories. From an outcome-oriented perspective, the research emphasizes balancing the potential of AI and ML with ethical considerations, ensuring market integrity, safeguarding investor interests, and promoting overall welfare in the cryptocurrency trading landscape.