The Ethics of AI: Addressing Bias, Transparency, and Accountability
Abstract
As AI systems are increasingly integrated into decision-making processes, ethical concerns around bias, transparency, and accountability emerge. This paper discusses the ethical implications of deploying AI systems in areas such as healthcare, finance, and criminal justice. We propose a framework for developing ethical AI models and address the role of regulation in ensuring responsible AI development.
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