Cognitive biases and debiasing in intelligence analysis
Belton, Ian and Dhami, Mandeep; Viale, Riccardo, ed. (2020) Cognitive biases and debiasing in intelligence analysis. In: Routledge Handbook of Bounded Rationality. Routledge, London. ISBN 9781315658353 (https://doi.org/10.4324/9781315658353)
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Abstract
Herbert Simon's ideas on human rationality have framed a generation of psychological research into decision making. Researchers have identified numerous "cognitive biases"––departures from normatively rational behaviour––and they have begun to develop and test debiasing interventions to combat those biases. Simon believed that individuals working in an organizational context could be helped to achieve rational thinking by the organization itself. This chapter considers how organizations responsible for intelligence analysis help their analysts to overcome cognitive bias. Intelligence analysis is a cognitively challenging task that is performed under suboptimal conditions, and analysts are often portrayed as being uncritical and suffering from cognitive bias. Eight biases are identified that may manifest at various stages of the analytic workflow (i.e., belief bias, confirmation bias, explanation bias, fluency effects, framing effects, order effects, the planning fallacy, and overconfidence). The intelligence community's response to the potential problem of cognitive bias has largely been to adopt ad hoc, untested, "structured analytic techniques" and computer technologies. Intelligence organizations have largely eschewed psychologically informed and empirically tested debiasing interventions. It is argued that, as such, these organizations may fail to fulfil their function in terms of providing analysts with an environment that encourages rational thinking.
ORCID iDs
Belton, Ian ORCID: https://orcid.org/0000-0002-2479-6563 and Dhami, Mandeep; Viale, Riccardo-
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Item type: Book Section ID code: 76840 Dates: DateEvent3 December 2020Published1 December 2020AcceptedSubjects: Philosophy. Psychology. Religion > Psychology Department: Strathclyde Business School > Management Science Depositing user: Pure Administrator Date deposited: 21 Jun 2021 11:18 Last modified: 13 Dec 2024 01:06 URI: https://strathprints.strath.ac.uk/id/eprint/76840