AI Risk Containment in Industrial Systems
- Raimund Laqua
- 2 days ago
- 1 min read
Updated: 15 hours ago
Industrial leaders in safety-critical, highly regulated sectors like energy, chemical processing, oil&gas, and nuclear face an important challenge: how to harness the transformative power of AI—such as predictive maintenance, process optimization, and deep analytics—without compromising the safety systems, regulatory compliance, and operational integrity that protect people and infrastructure.
Direct integration of AI into operational or enterprise systems introduces unacceptable risks, as even minor algorithmic errors can lead to regulatory violations, safety incidents, or catastrophic disruptions.
To address this, industries can draw from proven frameworks like ICH Q8 in pharmaceuticals and ISO PAS 8800 in automotive safety, which emphasize containment and isolation of experimental technologies.
This paper proposes a similar architecture for AI: one that separates Artificial Intelligence Technology (AIT) into bounded domains with controlled interfaces to Operational Technology (OT) and Information Technology (IT), enabling innovation while preserving compliance and operational excellence.
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