As AI becomes embedded in energy operations, ensuring the safe and compliant use of large language models (LLMs) is becoming a critical challenge. With regulators like Ofgem and the Information Commissioner’s Office (ICO) raising expectations around responsible AI use, organisations must understand how to manage the risks of bias, data exposure and shadow model usage – while still capturing the innovation benefits that AI can deliver.

We’ll discuss frameworks for risk assessment, model testing and transparent oversight, as well as approaches to aligning with evolving regulation without stifling progress. Drawing on insights from Hypercube’s CALLM framework for managed LLM compliance, this session will illustrate how governance can be designed to support innovation rather than constrain it. Attendees will come away with a clear understanding of how to build governance strategies that enable responsible, scalable AI adoption across the energy sector.