AI in Ground Engineering
Is AI truly revolutionising geotechnical engineering or is it just hype? This talk explores the reality behind the buzz, practical applications, current research, industry perceptions, and the ethical and commercial challenges of implementing AI in ground engineering.
We are being told that AI will transform all our lives but how much of this is hype and how much is a reality? We are told that it is easy to create AI applications and we see tantalizing new examples every day, but how easy is it really and how reliable are the outcomes?
The talk will briefly describe what we mean by AI and describe areas where it could/should be applied in Geotechnical Engineering. We will describe results of polls targeting different parts of the geotechnical community to see where geotechnical engineers with different job focus see real benefits.
We will discuss areas of AI research in which we are currently engaged: Generative AI in the form of large language models used for human interaction with computer systems and the automated analysis of data to produce insights in easily readable forms. Machine learning using the terabytes of data we have accumulated over the years to provide better forecasts, improve future decision making and reduce ground risk.
During this research we have had to address the practicalities of properly productizing an AI application and making it ready for commercial deployments. What type of human resources do you need to successfully implement AI as an owner, consultant or a contractor and what are the timelines and challenges. Where does the IP and value lie? Is it in the AI or in the data behind the AI. What are the challenges inherent in the data we are using?
We will finish by discussing the current legal, moral and ethical state of AI use as part of engineering advice and its application in administering ground engineering contracts.
You will hear from
Dr Angus Maxwell
Dr Rich Laver
