AI Bibliography
AI Bibliography |
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Dear, K. (2019). Artificial intelligence and decision-making. The RUSI Journal, 164(5-6), 18–25. |
| Resource type: Journal Article BibTeX citation key: Dear2019 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Complexity Science, Computer Science, Data Sciences, Decision Theory, General, Geopolitical, Mathematics, Military Science Subcategories: Analytics, Augmented cognition, Autonomous systems, Big data, Command and control, Decision making, Deep learning, Human decisionmaking, JADC2, Machine learning, Psychology of human-AI interaction, Strategy, Systems theory, United Kingdom Creators: Dear Publisher: Collection: The RUSI Journal |
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| Abstract |
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Keith Dear argues that AI will change decision-making in the defence and security arena in four principal ways. First, by enabling ‘cognitive manoeuvre’ the use of predictive analytics to enable much earlier intervention. Second, by forcing humans to take themselves ‘out of the loop’ for decision-making by out-performing them in an increasing number of domains. Third, by providing advice that is correct, but difficult to explain. Fourth, in the short term, by driving unprecedented rigour into decision-making processes, forcing decision-makers to be much more explicit about the mental models on which they are basing decisions, to enable comparison with automated analytics.
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