trust-based training

Trust-based training is a method that builds a mutual understanding and confidence between humans and autonomous systems, such as robots or AI. Instead of focusing solely on technical accuracy, it emphasizes transparency, reliability, and consistent performance so users feel assured they can rely on the system. The goal is to foster a collaborative relationship where the user understands the system’s capabilities and limitations, which in turn encourages continued use and effective cooperation. Essentially, it's about creating a seamless partnership grounded in trust, so the system can assist effectively in real-world tasks.