Trust Calibration

Trust calibration is the process of aligning a person's or a system’s level of trust with its actual reliability and performance. It ensures that people trust systems, like AI or robots, appropriately—neither overestimating their capabilities nor underestimating their limitations. Proper calibration helps users make better decisions, relying on a system when it’s dependable and exercising caution when it’s less certain. In essence, it’s about creating an accurate perception of trust based on actual performance, fostering effective and safe collaboration between humans and technology.