Increasing engagement of Al in our day-to-day lives is giving rise to questions about the ethics of AI, thus necessitating the demand for a set of principles and frameworks designed to guide the development, deployment, and use of artificial intelligence in a way that is beneficial, fair, and safe for humanity. The development of Al ethical guidelines is not a monolithic process but is instead a complex negotiation shaped by diverse ethical traditions, cultural values, and even individual human judgment. People want Al and organizations using it to act ethically, but ethical behavior is a complex, subjective concept. This is because ethical behavior means different things to different people. This chapter aims to address and solve the problem of conflict-ing Al ethical frameworks by taking a multi-pronged approach that moves beyond a search for a single, universal solution. Instead of trying to force a consensus on what "ethical" means, the focus should be on creating processes and systems that can navigate these disagreements and make informed, transparent trade-offs.