Leveraging AI for Resilient Design
Discover how AI-powered digital twins and LLMs can help architects assess risk, test scenarios, and translate resilience strategies into actionable, measurable design decisions.

About the live course
As climate risks intensify and project challenges become more complex, architects are increasingly required to design for resilience in ways that are both actionable and measurable. Emerging AI-powered tools, such as digital twins and large language models (LLMs), are transforming how practitioners assess risk, test scenarios, and incorporate resilience strategies into their daily workflows.
This webinar will explore how architects can effectively use AI-powered digital twins and LLMs to inform resilient design decisions from initial concept through development. Participants will gain an understanding of the limitations and reliability of these technologies and identify opportunities to implement resilience strategies across various projects. The session will focus on usability and applications, helping architects translate emerging technologies into concrete design outcomes.
- Evaluate how AI tools can aid in making resilient design decisions during the early phases of a project, including feasibility and scenario analysis.
- Apply strategies to effectively prompt AI tools to generate meaningful, reliable outputs that inform design outcomes.
- Identify opportunities to integrate AI-driven tools into existing architectural workflows.
- Assess the reliability and limitations of AI-generated insights when designing for resilience, and incorporate appropriate professional judgment.
Presented in partnership with the Resilience and Disaster Response Committee (RADR).


