Industrial AI

Industrial AI refers to artificial intelligence systems deployed in physical operations such as factories, power grids, refineries, water treatment plants, and logistics networks, where software decisions can affect equipment, worker safety, and public infrastructure. Unlike AI used for marketing or customer service, these systems can trigger real-world consequences when they fail, drift, or are compromised, which pulls them into the scope of safety regulation, sector-specific rules, and operational risk management. For compliance and risk leaders, the key questions are who is accountable when an AI-driven control decision causes harm, how the systems are validated before and after deploy

1 item

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