Foundations of AI Ethics

Abstract

Increasing engagement of AI 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 AI 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 AI 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 conflicting AI 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.

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