Description: Multidisciplinary approaches in artificial intelligence (AI) ethics refer to strategies that integrate knowledge and perspectives from various disciplines to address the complex ethical issues arising from the development and implementation of AI technologies. This approach recognizes that ethical challenges cannot be fully understood or resolved from a single perspective, as they involve technical, social, philosophical, legal, and psychological aspects. AI ethics encompasses issues such as privacy, fairness, transparency, and accountability, which require collaboration from experts in fields like computer science, philosophy, law, sociology, and psychology. By combining this knowledge, the aim is to develop more robust and effective solutions that consider the long-term implications of AI on society. This multidisciplinary approach is essential to ensure that AI is developed ethically and responsibly, fostering an inclusive dialogue that reflects the diversity of values and concerns from different stakeholders. In an increasingly interconnected and technology-dependent world, AI ethics becomes a crucial field that requires collaboration across multiple disciplines to comprehensively and effectively address its challenges.
