AI is a rapidly evolving technology that has become integral across various industries, including healthcare, banking, and manufacturing. However, as companies increasingly adopt AI to automate complex systems, improve decision-making, and reduce expenses, they must also be aware of the potential risks associated with its use, such as algorithmic bias, lack of accuracy, transparency, and explainability, and privacy violations. To mitigate these risks, it is essential for executives, data scientists, and developers to create an AI code of ethics, be proactive in implementing responsible AI practices, protect data privacy, design ethically, and add context to their data to ensure accuracy, transparency, and explainability. Companies can adopt ethical AI practices with Neo4j graph technology, which provides a framework for creating fair and trustworthy AI applications that reflect societal norms. By prioritizing AI ethics, companies can minimize risk, build trust, and promote robust and trustworthy outcomes.