Presentation topics:
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Where within Structural Engineering does using AI make sense
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From Experiment to Engineering: Lessons from Applying Agentic AI
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Beyond the Black Box: Responsible AI in Structural Engineering
Rahul’s presentation - AI is rapidly moving into everyday structural engineering, offering brilliant productivity boosts but also real risks like 'black box' errors, biased data, and the erosion of our own engineering judgement. This presentation explores how we navigate these challenges on the ground. We'll look at a practical, ethical framework - focusing on human-in-the-loop governance and smart data checks - to help us embrace AI safely without compromising our core duty to public welfare.
Yulan’s presentation draws on a real project example, this presentation shares some lessons learned from applying Agentic AI to a structural engineering workflow. I’ll explore where it worked well, where it struggled, and the practical challenges of making AI-generated outputs reliable enough for engineering use. The experience also raises an interesting question around how much time and cost AI really saves once checking and validation are taken into account.
Emily’s presentation explores where AI can genuinely add value in structural engineering, focusing on practical applications, productivity gains, and the boundaries where human expertise and engineering judgement remain essential.