Description: Theoretical frameworks in the field of artificial intelligence (AI) ethics are conceptual structures that guide the understanding and analysis of ethical issues related to the development and use of AI technologies. These frameworks enable researchers, developers, and policymakers to address complex questions such as fairness, transparency, accountability, and the social impact of AI. By providing a context for evaluating ethical implications, theoretical frameworks help identify and mitigate biases, as well as promote responsible practices in the implementation of AI systems. In a world where AI is increasingly integrated into everyday life, the need for an ethical approach becomes crucial to ensure that these technologies benefit society as a whole and do not perpetuate inequalities or injustices. Theoretical frameworks also encourage interdisciplinary dialogue, integrating perspectives from philosophy, sociology, computer science, and other disciplines to address ethical challenges in a comprehensive manner.
