AI Governance Framework

An AI governance framework is a structured set of policies, roles, processes, and controls an organization uses to decide how it develops, buys, deploys, and monitors AI systems responsibly. Well-known examples include the NIST AI Risk Management Framework from the US National Institute of Standards and Technology and ISO/IEC 42001, an international management system standard for AI that organizations can be certified against. For compliance and legal teams, these frameworks matter because they give regulators, auditors, and customers a recognized benchmark, and they often map onto obligations under laws such as the EU AI Act.

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Corporate PolicyGlobal2026-10-08

AVEVA's Industrial AI Framework Sets a Human Oversight Benchmark for OT Operators

AVEVA's chief technologist has outlined a responsible AI framework for industrial deployments that explicitly limits where automated systems can act without human approval. The framework positions AI as a support tool rather than a decision-maker in critical process loops, with defined boundaries on autonomous action. AVEVA is also contributing to an IEEE working group developing a standard way to measure AI's environmental impact.

AVEVA industrial AI human oversight agentic AI operational technology AI governance framework environmental disclosure