INVESTIGATING THE ROLE OF PLURIDISCIPLINARITY IN THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE

Abstract

The rapid evolution of Artificial Intelligence (AI) has transformed industries and scientific disciplines alike, driving innovation and productivity. However, the success of AI systems heavily depends on the integration of multiple disciplines, which allows for the development of more robust, efficient, and ethical AI solutions. Pluridisciplinarity, which refers to the collaborative approach between different fields of study, plays a pivotal role in shaping AI’s future. This paper explores the significance of pluridisciplinarity in AI development, focusing on the contributions from fields such as computer science, cognitive psychology, ethics, and engineering. We also investigate the challenges and opportunities of this interdisciplinary collaboration. By analyzing case studies and current trends, this paper aims to underscore the essential role of a pluridisciplinary approach in the creation of sustainable AI technologies.