Human decisions are influenced by complex neural networks that assign variable weights to inputs based on subjective internal values shaped by genetics, environment, and experience. This renders the measurement of human values inherently subjective and variable, complicating their utility in economics. Despite advances in neuroscience, accurately modeling these processes remains a significant challenge.