Artificial intelligence and advanced parametrics are commonly used to solve complicated and multi-faceted problems, to generate and control complex geometries, or to minimize tedious and repetitive tasks in architectural production. At times, these tools are used to create architecture that is defined too strictly by its data, that is unresponsive to the unique conditions each specific site or stakeholder group, or that has gestural expression as its primary goal, creating a self-referential, branded architecture of gimmickry and mannerism into which its program and uses must uncomfortably fit.
But how could these computational tools be used differently to deeply analyze, interpret and reflect the character of a place and users? How can we redeploy these tools to produce more sensitive architecture that is fundamentally shaped by its context rather than imposed on it? How could our increasingly sophisticated technology be redirected towards creating architecture that is fully emergent from its specific cultural setting, that reinterprets the surrounding local vernacular provocatively, and that responds more intelligently to the environmental and climactic conditions that are unique to each project’s context?
The presentation will explore the ways in which advanced AI and computational tools were deployed in the architectural design of specific case studies including The Ottawa Hospital, iKure Health Hub, Kingston’s Health Sciences Centre, Detroit’s Henry Ford Health Centre, and London’s Health Sciences Centre. These case studies explore how tools improve the planning and engagement process, efficiency of clinical design planning, and predictive simulation of environmental performance.
Key Learning Objectives:
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- How to incorporate technology and AI to improve engagement with stakeholders
- How simulation can be used to improve efficiency and performance of architectural design.
- Date:May 15, 2025
- Time:1:35 pm
- Event:Responding to the Changing Playbook: Risk Management, Adaptability and Resiliency
