Human + AI: Augmented Architecture
Today, the emergence of Machine Learning and Artificial Intelligence prompts interest in the academia and tech startup world to explore opportunities that Machine Learning offers within our profession and as any other innovation in technology, to challenge the existing modes of work.
The thesis project, speculative in its nature, aims to explore and investigate what it means to be an architect in a world disrupted by AI and more important how this will change the mode of work for our profession. The hypothesis is that architecture will become an eco-system of Human and AI agents that collaborate together and the machine will become a co-designer in the design process. To examine this hypothesis, the particular focus of this project is on two elements - the active role and interaction among Humans and AI; understanding who has the active role in the design process and how the interaction between Humans and AI changes.
The proposition is that AI agents within this ecosystem take on specific roles with specific tasks from the design process, and in interaction with the Human, they collaborate and help the designer make the design decisions. It is no longer that the designer is the agent who has the only active role in the design process and the analog and digital tools are the medium enabling the designer to make the design decisions, but that AI is also an agent in the ecosystem and not a medium.
Nikola Gjuschinoski is a graduating architecture student (MArch) at Lawrence Technological University and participant in NCARB’s IPAL (Integrated Path for Architecture Licensure) initiative. Currently practicing architecture at HKS Architects and completing the requirements for Architect Licensure.