The chapter presents the risks of integrating artificial intelligence into financial markets. Recognizing the potential benefits of AI for efficiency, risk management, and market research, the study shifts its focus to ethical safeguards and operational risks for which mitigation strategies should be adopted which is done quickly. In this regard, the current paper seeks to examine how algorithmic bias can further discriminate in practice and exacerbate existing inequalities. Present chapter discussed the privacy concern, data breach, and unauthorized access due the use of the AI system. Vendor lock-in, skill gaps in workforce, and challenges with the financial infrastructure due to the use of AI are also discussed. The chapter also raises the issue of faulty AI models and regulatory violations and unclear laws. It also points out that communication between humans and AI systems needs to be clear in order to avoid misinterpretations which can be costly, and can even bring about malfunction and disruption in the financial markets. It is also worth noting that this computational capacity required for such complicated models of AI contributes to the degradation of the environment, thus, financial institutions are motivated to adopt sustainable practices for AI development and implementation. This paper intends to delve into the details of the risks related to AI in finance and give advice that will enable financial institutions to use AI responsibly and avoid the pitfalls that may arise in the process.