Manufacturing AI

Manufacturing AI refers to the use of artificial intelligence in factories and production lines, such as computer vision for defect detection, predictive maintenance on equipment, and optimization of production schedules. For governance teams, it raises questions about product safety liability when an AI system misses a defect, about worker monitoring and data rules, and about how the EU AI Act (the European Union's risk-based AI law) treats safety components embedded in machinery. Tracking this tag helps compliance and risk managers spot regulatory changes and incidents that affect industrial operators.

1 item

ResearchGlobal2026-11-10

Gemini Robotics 2.5 Brings Embodied AI Governance Into the Factory

Google DeepMind released Gemini Robotics 2.5 on November 10, 2026, its most capable model for controlling physical robots. A proof-of-concept with Apptronik and Mercedes-Benz on active automotive production lines achieved a 96% success rate. The release also introduces a new benchmark designed to test whether the model can be manipulated into unsafe physical actions.

Gemini Robotics 2.5 Google DeepMind embodied AI robotics AI physical safety jailbreak benchmarking manufacturing AI vendor risk