Human–AI Agent Collaboration in Structural Engineering and Code Development

Date: 11/17/26

Time: 12:00 PM - 1:00 PM

Location:

Live Via Zoom

Registration:

Member - $45.00

Non - Member - $65.00

Learning Objectives


Upon completion of this session, participants will be able to:

1. Describe how AI agents plan and execute multistep structural engineering tasks, including the roles of lead, subordinate, and independent audit agents in a verification workflow.


2. Evaluate the reliability of agent-generated structural analyses by distinguishing certified two-sided bounds from unverified numerical estimates and by identifying common failure modes such as fabricated references.


3. Explain how AI agents can support building code development by tracing the technical basis of existing provisions and checking proposed changes against test data, while engineers and code committees retain responsibility for adoption.



THIS PRESENTATION WILL NOT BE RECORDED

 

About The Presenter


M.Z. Naser

Associate Professor, Clemson University

M.Z. Naser is an associate professor at the School of Civil and Environmental Engineering and Earth Sciences & a member of the Artificial Intelligence Research Institute for Science and Engineering (AIRISE) at Clemson University.

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