AI is changing the world. But can artificial intelligence truly revolutionize fire safety engineering? In this episode I took out my crystal ball, and tried to find answers in what aspects of fire engineering we could truly see a revolutionary impact of AI, and where it is more a disturbing gadget with no real application... 

Overall, working in the space for many years, and having talked with many luminaries of the use of AI, I would say my expectations are toned down a lot. I am still excited, but I've also learnt that really good AI applications require exceptional knowledge and resources, often at a level not accessible in fire science. While the building blocks are there, we may be short in the data, processing power or knowledge to truly apply it. At the same time, as AI became a buzzword for novelty, a lot of people pursue very simple AI applications with extraordinary claims - something that kind of triggers and annoys me...

In this episode I try to give my opinion about the use of AI in:

• supporting fire modelling
• writing and reporting (engineering and in science)
• data processing
• predicting fire phenomena
• studying fire phenomena
• material properties
• fire testing and legislation

Each of those I've ranked on an arbitrary scale of 
1 - b-s. 
2 - not too excited
3 - a good use of AI
4 - very exciting use of AI
5 - paradigm shifting use of AI

Which got the highest rank? Listen to the episode to find by yourself :)

In the episode I refer a lot to the previous episodes of the Fire Science Show in which AI technology was discussed. You can listen to those in the AI/ML section of the podcast, find them all here: https://www.firescienceshow.com/category/ai-ml/

Big thanks to the inspirational guests and my close friends that helped me clear my mind on AI, especially to MZ Naser, Jakub Bielawski, Mike Spearpoint, Danny Hopkin, Matt Bonner, Xinyan Huang, Michael Kinsey and Mike Stromgren! 

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