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Recently, Artificial Intelligence (AI) has permeated diverse sectors, revolutionizing various aspects of human's life by automating tasks traditionally performed by humans. This includes manufacturing automation, certain educational methodologies, and the dynamics of social media. However, despite these advancements, there are still domains where AI struggles to fully emulate human capabilities, notably creativity, a unique human attribute. Architects can leverage AI technologies to streamline their work, handling non-creative tasks efficiently and allowing more time for innovative processes. Despite the wealth of data AI generates within seconds, many architects and designers remain unfamiliar with integrating AI into their processes. Through a comprehensive study of AI, including its patterns, decision-making processes, data-related predictions, and event presentations, it becomes clear that AI can significantly contribute to various phases of architectural design process, benefiting from its continuous learning capabilities, self-evolution, and performance enhancement. This research aims to formulate a framework that delineates the integration of AI and its patterns in reshaping and enhancing the different phases of the architectural design process, focusing on accomplishing non-creative tasks, ultimately saving valuable time and effort. This, in turn, can support architects within the creative process, idea development, and achieving optimal results while presenting innovative designs. That, grounded in a theoretical framework that illuminates relevant literature related to AI, its diverse types, and patterns. Additionally, it delves into a meticulous examination of the design process stages within the context of AI's capabilities, boundaries, and its impact on the architect's role. Highlighting culminates for the proposal of conceptualized AI system designed to function as an architectural assistant. This system utilizes various AI patterns based on their specific goals and capabilities, thereby providing comprehensive support throughout the architectural design process.
Matter et al. (2024) studied this question.