Process and Control Today | Digital trust key to scaling artificial intelligence safely in energy networks, says DNV
Publish Date: 2026-05-18 00:04:00
Source Domain: www.pandct.com
- DNV GL, an independent expert and assurance provider, launched a new position paper addressing the management of AI system risk in energy networks at the All?Energy conference in Glasgow.
- The paper emphasizes digital trust as a foundational principle for the safe, transparent, and accountable implementation of AI in energy systems.
- As energy systems become more digital and automated, AI and advanced analytics are increasingly crucial for planning, operation, and investment in energy networks.
- Without clear frameworks for digital trust, the increasing use of AI in energy networks introduces new risks relating to system resilience, operational control, consumer outcomes, and regulatory confidence.
- Digital trust is defined as the justified confidence in digital and AI-enabled systems to behave predictably, remain under control, and align with public interest outcomes throughout their lifecycle.
- The paper highlights challenges in the UK energy transition, emphasizing electrification, decentralization, and variable renewables, and the impact of these on system complexity and reliance on real-time data.
- It stresses the importance of AI assurance and structured approaches to monitoring and governance for the responsible deployment of AI at scale.
- The case study of DNV’s work on the Intelligent Gas Grid programme exemplifies how digital trust principles support AI-enabled innovation in a safety-critical network environment.
- Ultimately, the paper argues, the digital energy transition will succeed only if it is trusted, transforming AI into a resilient, beneficial, and predictable infrastructure.
