Concept

Cognitive bias mitigation

Summary
Cognitive bias mitigation is the prevention and reduction of the negative effects of cognitive biases – unconscious, automatic influences on human judgment and decision making that reliably produce reasoning errors. Coherent, comprehensive theories of cognitive bias mitigation are lacking. This article describes debiasing tools, methods, proposals and other initiatives, in academic and professional disciplines concerned with the efficacy of human reasoning, associated with the concept of cognitive bias mitigation; most address mitigation tacitly rather than explicitly. A long-standing debate regarding human decision making bears on the development of a theory and practice of bias mitigation. This debate contrasts the rational economic agent standard for decision making versus one grounded in human social needs and motivations. The debate also contrasts the methods used to analyze and predict human decision making, i.e. formal analysis emphasizing intellectual capacities versus heuristics emphasizing emotional states. This article identifies elements relevant to this debate. A large body of evidence has established that a defining characteristic of cognitive biases is that they manifest automatically and unconsciously over a wide range of human reasoning, so even those aware of the existence of the phenomenon are unable to detect, let alone mitigate, their manifestation via awareness only. There are few studies explicitly linking cognitive biases to real-world incidents with highly negative outcomes. Examples: One study explicitly focused on cognitive bias as a potential contributor to a disaster-level event; this study examined the causes of the loss of several members of two expedition teams on Mount Everest on two consecutive days in 1996. This study concluded that several cognitive biases were 'in play' on the mountain, along with other human dynamics. This was a case of highly trained, experienced people breaking their own rules, apparently under the influence of the overconfidence effect, the sunk cost fallacy, the availability heuristic, and perhaps other cognitive biases.
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