“Technology is nothing. What's important is that you have faith in people, that they're basically good and smart, and if you give them tools, they'll do wonderful things with them.” —Steve Jobs. Design theory and practice have always been shaped by the introduction of new tools and media. In recent times, rapid advancements in information technology and mechanical components have opened up remarkable possibilities for innovation. One significant development in architectural design is the emergence of computational systems, which form the foundation of a new field of study encompassing design cognition, software development, and generative principles. Many industries have been transformed by applications of artificial intelligence or machine learning over the last two decades, leveraging the power of computing to solve complex problems in new, innovative ways. Design has been relatively slow to embrace this aspect of current information technology—while all designers use computers in their practice, the application of advanced AI systems is minimal. The following body of work explores new approaches that are beginning to implement computational optimization in the design process,and discuss the opportunities and future prospects for applying emerging technologies in the field. Additionally, the research journey involves exploring methods for measuring and quantifying theperformance of these systems so that each design outcome can be evaluated automatically by the computer. New workflows can allow us to consider a much wider space of design than is possible through traditional intuitive methods, leading not only to the discovery of novel and unexpected solutions, but to a deeper understanding of the design problem itself. To take advantage of these possibilities, the intent was orchestrating human/machine design collaborations and to understand algorithms as partners in the design process, a perspective that can be defined as “augmented intelligence.”