Human AI trust modeling in cognitive systems via ensemble learning and advanced feature engineering

With high-stakes industries such as healthcare, finance, and autonomous systems, an increasing number of cognitive artificial intelligence are being utilized, which presents new challenges for developing calibrated trust. The complexity of trust involves balancing reliance and skepticism. Mistrust and misalignment cause complacency towards automation, premature skepticism, and outright rejection of the automation systems. Previous literature describes trust via isolated theoretical perspectives