Master's thesis document:
New technological advancements continuously challenge the relations between humans and technology. They require old habits to adapt, prompting the need for new structures and rules. The current rise of artificial intelligence (AI) offers a wide range of possibilities in architectural ideation processes by enhancing both creativity and efficiency. With iteratively combining architecture and AI, this approach strives to connect both realms aiming to crystallize a better understanding of today's challenges. Explicitly considering the ideation phase, it explores current AI technologies and knowledge and how early AI adoption could boost architectural ideation when utilized rigorously and relevantly, thereby having a greater impact on a possible architectural future. Overall, the focus is on how AI might unfold its potential as an augmented companion rather than a fully autonomous designer.
Carried out like an online crawl, scanning information, keywords and metadata, indexing findings to structure and rank them by relevance, this master’s thesis investigates how a professional architectural background influences attitudes, competencies, and adoption of AI in ideation. Using validated instruments to analyze collected data revealed that AI literacy was key in AI utilization. Findings highlight the demand for field-related AI interventions, particularly in architecture, to commonly address today’s challenges in a time of fast-changing environments.