Charles Spinelli on Trust Calibration in AI-Supported Decision Making
Charles Spinelli on Building Balanced Trust in AI Recommendations Artificial intelligence now supports decisions across hiring, scheduling, customer service, and operational planning. These systems provide recommendations designed to help employees process information and respond more efficiently. As AI becomes more integrated into workplace activities, employees face an important challenge: determining when to trust system outputs and when to apply additional scrutiny. Trust Calibration explores how workers develop this judgment and navigate the balance between reliance and skepticism. Charles Spinelli recognizes that effective AI use depends not only on system performance but also on how employees learn to interpret recommendations. Organizations often focus on improving the accuracy of AI tools. While accuracy remains important, employee interaction with these systems is equally significant. Even highly capable systems can pose challenges when users place ...