Building a safer path to autonomous industrial AI
As industrial AI systems become more autonomous, experts emphasize the need for robust governance, human oversight, and data integrity. The integration of AI into physical infrastructure requires new safety guardrails to prevent unpredictable outcomes.
Why it matters
Ensuring safety in industrial AI is critical as these systems move from digital environments to controlling physical infrastructure.
As AI takes on more autonomous roles in industrial settings, organizations need new approaches to data, governance, and human oversight, says Arti Garg, chief technologist at AVEVA.
Industrial AI is entering a new phase. After decades of predictive analytics and other specialized applications, advances in foundation models, physical AI, and agentic AI are making it possible to automate more complex tasks across industrial environments. But unlike AI that operates purely in the digital world, industrial AI can interact directly with physical systems, where an unexpected decision can have consequences for safety, reliability, and critical infrastructure.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in