INSIGHTS FROM THE INTEGRATED METHODOLOGICAL FRAMEWORK FOR AI PROJECT DEVELOPMENT

Abstract

The present research addresses the context of the design, management and development of AI systems that involve multiple issues and unique challenges. Because the AI world is a multidisciplinary field that involves concepts of computer science, statistics, mathematics and specific knowledge of data science, in addition to the necessary care with ethics and privacy. It aims to propose a comprehensive and flexible methodological framework for the entire development cycle of AI systems, which fills the existing gaps in traditional approaches by integrating: best project management practices, advanced artificial intelligence techniques, ethical, legal, transparency and privacy considerations, alignment with corporate strategy initiatives,  collaboration and customer experience, adaptability and continuous value generation for the business, in different organizational contexts.