It is difficult to explain, analyze, and comprehend how the human mind works. While doing the same for machine behavior is a very different matter. Humans still lack a comprehensive understanding of their capabilities and behaviors as artificial intelligence (AI) models are used more frequently in complex situations, such as approving or denying loans, assisting doctors with medical diagnoses, assisting drivers on the road, or even taking full control. Most current studies concentrate on the fundamentals: Just how precise is this model? Focusing on the idea of straightforward precision can frequently result in hazardous errors.

Explaining, interpreting, and understanding the human mind presents a unique set of challenges. Doing the same for the behaviors of machines, meanwhile, is a whole other story. As artificial intelligence (AI) models are increasingly used in complex situations -- approving or denying loans, helping doctors with medical diagnoses, assisting drivers on the road, or even taking complete control -- humans still lack a holistic understanding of their capabilities and behaviors. Existing research focuses mainly on the basics: How accurate is this model? Oftentimes, centering on the notion of simple accuracy can lead to dangerous oversights.