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Type
Lecture

Beyond automation: Responsible AI workflows in geotechnical modelling and monitoring

Event organised by The British Geotechnical Association

Date
19 November 2026
Time
17:30 - 19:30 GMT
Location
James Weir building
75 Montrose Street
Glasgow, G1 1XJ
United Kingdom
Add to Calendar 19-11-2026 17:30 19-11-2026 19:30 false Europe/London Beyond automation: Responsible AI workflows in geotechnical modelling and monitoring https://ice.org.uk/events/upcoming-events/beyond-automation-responsible-ai-workflows James Weir building, Glasgow

Free

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Overview

The British Geotechnical Association present their touring lecture: "Beyond automation: responsible AI workflows in geotechnical modelling and monitoring"

Geotechnical engineering is entering an era where machines can see more, compute faster and detect patterns long before humans notice them — yet we remain unsure how far to trust them.

This lecture explores that tension.

We examine the reliability limits of AI in a domain defined by sparse data and high consequence, the legal and insurance frameworks that keep liability firmly human, and the cultural forces that slow adoption even when the technology works.

Venue

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James Weir Building
75 Montrose Street
Glasgow
G1 1XJ

Programme

17:30 - 18:00

Arrival and networking

18:00 - 19:00

Presentation

19:00 - 19:25

Q&A

19:25 - 19:30

Closing remarks

Speaker

Chin Pang

Chin Pang

Ground Central Pty Ltd

executive director

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Chin Pang

Chin is a scholar engineer entrepreneur working at the intersection of computation, engineering and company building.  As executive director of Ground Central Pty Ltd, he leads AI enabled geotechnical innovation, advanced numerical modelling and next-generation 3D surveying while cultivating a space where engineers can turn their ideas and tools into real world impact.  

He also co founded RPL Central Group Pty Ltd, a venture studio supporting emerging technologies across engineering and digital automation.  He has delivered government endorsed digital certification systems, automated buried asset triage tools and data-driven back-analysis pipelines, supported by an MBA, a Master in Engineering Management and a background in aerospace engineering.

For more information please contact:

ICE Scotland