NEWS · COMPANIES · #1705
AVEVA outlines responsible-AI approach for autonomous industrial systems
Arti Garg, chief technologist at AVEVA, discusses accelerating industrial AI—including foundation models, physical AI, and agentic systems—and describes AVEVA’s responsible-AI framework that emphasizes security, efficiency, human safety, and oversight. She also notes participation in an IEEE working group developing a standardized methodology to measure AI’s environmental impact across energy, resources, water, and carbon.
KEY POINTS
- Arti Garg, chief technologist at AVEVA, discusses accelerating industrial AI—including foundation models, physical AI, and agentic systems—and describes AVEVA’s responsible-AI framework that emphasizes security, efficiency, human safety, and oversight.
- She also notes participation in an IEEE working group developing a standardized methodology to measure AI’s environmental impact across energy, resources, water, and carbon.
- Industrial AI interacts with physical infrastructure where failures can threaten safety and reliability, so company frameworks and measurement standards matter for safe, accountable adoption.
WHY IT MATTERS
Industrial AI interacts with physical infrastructure where failures can threaten safety and reliability, so company frameworks and measurement standards matter for safe, accountable adoption.