Safer autonomous industrial AI requires new data, governance approaches
artificial intelligence is being used in more autonomous roles in industrial settings, requiring new approaches to data, governance, and human oversight to ensure safety and reliability.
industrial ai is entering a new phase with advances in foundation models, physical ai, and agentic ai, allowing for more complex task automation. however, this increased autonomy poses risks to safety, reliability, and critical infrastructure. to mitigate these risks, organizations need new approaches to data, governance, and human oversight. a framework for responsible ai, emphasizing security, efficiency, and human safety, is being developed. the goal is to create a model of automation that is not only more autonomous but also safer, more efficient, and more sustainable.