Description: The interdisciplinary approach is a method that integrates various disciplines to address complex problems and improve model optimization. This approach is based on the premise that contemporary challenges, especially in fields like artificial intelligence (AI), require a holistic understanding that transcends the boundaries of a single discipline. By combining knowledge, techniques, and perspectives from different areas, more robust and effective solutions can be developed. This approach not only fosters collaboration among experts from various fields but also promotes innovation by allowing the transfer of ideas and methods. In the context of AI, the interdisciplinary approach is crucial for addressing issues of ethics and bias, as well as for the diffusion and optimization of models. The integration of psychology, sociology, computer science, and philosophy, for example, can enrich the development of fairer and more responsible algorithms. In summary, the interdisciplinary approach is essential for the evolution of technology and science, as it allows for a deeper understanding and more effective application of knowledge in solving complex problems.
