Nobody gets fired for following the algorithm . . .
Nobody gets fired for following the algorithm . . .
A recent study published in the Proceedings of the National Academy of Sciences examines “quantification fixation,” a cognitive bias where individuals prioritize numerical data over qualitative information in decision-making. Through a series of experiments, the researchers found that people tend to favor options with quantifiable attributes, even when qualitative factors are equally or more important. This bias can lead to suboptimal choices, as decision-makers might overlook critical qualitative aspects. The study highlights the need for awareness of this bias to improve decision-making processes. #AI #datadrivendecisionmaking
