Heriot-Watt Paper Urges Calibrated Uncertainty and Auditability for Subsurface AI

A Heriot-Watt perspective paper argues the bottleneck for machine learning in underground energy projects is not accuracy but calibrated uncertainty and auditability, and calls for AI to help set safety boundaries for regulators.

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2026-10-30 06:01 · AlphaSignal
Heriot-Watt Wants AI to Set Safety Boundaries for Underground Energy Projects

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