Wilson, Liam Robin2024-07-042024-07-042024-02Wilson, Liam Robin. (2024). Future Proofing Architecture: Intelligent design processes of an AI-Innovation center in Newtown. [Master's dissertation, University of the Witwatersrand, Johannesburg]. WIReDSpace. https://hdl.handle.net/10539/38849https://hdl.handle.net/10539/38849A research report submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, in partial fulfilment of the requirements for the degree of Masters in Architecture (Professional)in 2024.In the ever-evolving realm of architecture, tools used by architects and related professionals have transitioned from rudimentary sketches to sophisticated digital simulations. Today, the integration of Artificial Intelligence (AI) stands to redefine this lineage of tools, offering both challenges and opportunities. This thesis delves into AI’s transformative potential in architectural design processes specifically within a South African context, exploring its influence from conceptualization to the final design stages. Through a systematic methodology, the research herein investigates and compares the conventional architectural design stages, the current state of AI and its practical applications in architecture. I have carefully selected a handful of AI-driven software tools that have been instrumental in forging a generative design process. Central to this exploration, is the design of an AI Innovation Centre for Witwatersrand University in Newtown, Johannesburg. This Centre is not just a building but a manifestation of my core argument: that AI, when understood as a tool in the architect’s evolving toolkit, can profoundly influence design outcomes in a manner that far outreaches human capabilities. This study further importantly addresses the ethical implications of AI in architecture, advocating for a collaborative approach that not only complements human expertise, but that illustrates the pitfalls and certain biases inherent to AI. Through this comprehensive exploration, this thesis underscores the need for architectural spaces to evolve in response to AI-driven operational changes, while ensuring designs remain rooted in human-centric principles.en©2024 University of the Witwatersrand, JohannesburgArtificial Intelligence (AI)Generative designAI toolsTypology optimisationNewtownAI Innovation CenterOptimising architectural designNewtown local contextEthical considerations in AIBias in AIGANsUCTDSDG-9: Industry, innovation and infrastructureDissertationUniversity of the Witwatersrand, Johannesburg