AI-based forex trading raises several ethical concerns, primarily related to market fairness, transparency, and financial stability. One major issue is market manipulation. High-frequency trading (HFT) algorithms, powered by AI, can execute trades in milliseconds, potentially exploiting small price fluctuations before human traders can react. This creates an uneven playing field, favoring institutional investors over retail traders. Lack of transparency is another concern. Many AI-driven trading models operate as “black boxes,” meaning their decision-making processes are not easily interpretable. Traders may blindly trust AI-generated signals without understanding the risks, leading to uninformed decision-making. Job displacement is also an ethical issue. As AI automates trading processes, human traders and analysts may face reduced opportunities, impacting employment in financial markets. Additionally, AI models can exhibit bias, leading to unfair trading advantages. If trained on biased data, an AI system may favor specific currencies or trading strategies, disadvantaging certain market participants. To address these concerns, regulators and financial institutions must enforce ethical AI usage, promote transparency, and ensure AI-driven trading