Have you ever wondered how the understanding of AI can revolutionize the field of civil engineering? Today I am discovering this together with our own AI trendsetter, MZ Nasser. His latest book "Machine Learning for Civil and Environmental Engineers: A Practical Approach to Data-Driven Analysis, Explainability, and Causality" is the focal point of our conversation, illuminating the significance of explainable AI and the concept of causality. 

Our discourse with MZ dives straight into the practical applications of AI, and how it already has been used with a high degree of success. We go deep into the case study of understanding concrete spalling, perhaps one of the most complicated phenomena in structural fire engineering. 

We also delve into the limitations of AI in engineering and fire safety, and how coding-free software and AI principles could potentially usher in a new era for civil engineers. We navigate the concept of causality and its application in diverse fields, from social sciences to fire statistics.

If you would like to learn more, MZ Naser runs his blog where you can find all of his work and a ton of bonus resources. Check it out here: https://www.mznaser.com/

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