How artificial intelligence is reshaping geotechnical engineering skills

AI adoption has significantly increased within geotechnical professions, with AI tools used for routine tasks and complex modeling processes.
The global tunnel construction market is anticipated to grow substantially, leading to increased dependency on geotechnical expertise and the adoption of AI to manage rising demands.
AI deployment in geotechnical practices is transforming workflows, enhancing data handling, and optimizing design, but poses ethical questions about oversight and accountability.
The use of AI in geotechnical engineering necessitates new specialist roles, involving skills from various disciplines to manage, train and integrate AI solutions.
AI adoption raises concerns about the future necessity of junior roles, as the technology takes over simpler tasks, which might hinder the development of experienced engineers crucial for effective AI governance.
Key ethical considerations need to be addressed when deploying AI, including accountability, transparency, bias awareness, data quality, and data privacy to maintain public safety and trust.

You may have missed