This study explores the synergistic potential of integrating artificial intelligence (AI) with design thinking, aiming to enhance innovation and problem-solving capabilities in various domains. Beginning with a comprehensive examination of design thinking principles and methodologies, the research provides a foundational understanding of its core concepts. Subsequently, it investigates the capabilities of AI that can complement and augment the design thinking process. This includes an analysis of existing AI applications across different fields, highlighting their effectiveness and potential contributions to creative and strategic design processes. Central to the study is the integration of AI principles and tools within the framework of design thinking. Through a detailed review of AI techniques, the research identifies specific applications where AI can enhance ideation, prototyping, and user-centered design phases. Furthermore, it maps out how AI-driven solutions can be seamlessly incorporated into each stage of the design thinking process. This integration aims to optimize creativity, problem-solving, and decision-making by leveraging AI's predictive analytics, pattern recognition, and iterative learning capabilities.
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Saeidnia et al. (2024) studied this question.
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