While large language models (LLMs) have shown remarkable potential, there remains a persistent problem. According to Heinz College at Carnegie Mellon University, “Everything that LLMs generate is plausible…and that's exactly what it's designed to do, is generate plausible things, rather than factually correct things, because it doesn't know the difference ...

We’re in an age of infatuation with AI and its ever-evolving technological capabilities. Yet, it’s still humans—executives, managers, and others—who use the output of these algorithms to make mission-critical decisions. These decision-makers bring their human judgment, individual personalities, opinions, and biases to the decision-making process, determining how to use the ...