Results 41 to 50 of about 6,437 (212)
Correcting Judgment Correctives in National Security Intelligence
Frontiers in Psychology, 2018 Intelligence analysts, like other professionals, form norms that define standards of tradecraft excellence. These norms, however, have evolved in an idiosyncratic manner that reflects the influence of prominent insiders who had keen psychological ...
David R. Mandel, Philip E. Tetlock
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Overcoming cognitive biases in strategic business management [PDF]
Економічний вісник Державного вищого навчального закладу Український державний хіміко-технологічний університетManagers regularly make decisions under conditions of incomplete information and uncertainty, which renders them vulnerable to cognitive biases. These biases lead to systematic errors that negatively affect strategic, financial, and operational decisions.
Roman Kremena, Larisa Honchar
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European Journal of Case Reports in Internal Medicine, 2022 Very often in clinical practice, an inflamed pelvic appendix shows left lower quadrant abdominal pain as the primary painful area. The clinicians are anchored to the most prominent symptom, thereby taking an unnecessary detour in reaching an accurate ...
Kotaro Kunitomo +2 more
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Probabilistic Debiasing of Scene Graphs
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Accepted at CVPR 2023.
Bashirul Azam Biswas, Qiang Ji
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Reducing the causal illusion: a question of motivation or of information? [PDF]
R Soc Open SciThe causal illusion is a cognitive bias that involves believing that one event causes another when it does not. It has negative consequences in different spheres of life, including health. Therefore, diverse interventions have been designed to reduce it.
Vinas A, Blanco F, Matute H.
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Dynamic Debiasing Network for Visual Commonsense Generation
IEEE Access, 2023 The task of Visual Commonsense Generation (VCG) delves into the deeper narrative behind a static image, aiming to comprehend not just its immediate content but also the surrounding context.
Jungeun Kim +3 more
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Analysis and Mitigation of Religion Bias in Indonesian Natural Language Processing Datasets
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Previous studies have shown the existence of misrepresentation regarding various religious identities in Indonesian media. Misrepresentations of other marginalized identities in natural language processing (NLP) datasets have been recorded to inflict ...
Muhammad Arief Fauzan, Ari Saptawijaya
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Debiasing knowledge graph embeddings [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 It has been shown that knowledge graph embeddings encode potentially harmful social biases, such as the information that women are more likely to be nurses, and men more likely to be bankers. As graph embeddings begin to be used more widely in NLP pipelines, there is a need to develop training methods which remove such biases.
Joseph Fisher +3 more
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Judgment and Decision Making, 2007 This paper reports two experiments comparing variants of multiple explanation applied in the early stages of a judgment task (a case involving employee theft) where participants are not given a menu of response options. Because prior research has focused
Robert C. Litchfield, Jinyan Fan
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Activating reflective thinking with decision justification and debiasing training [PDF]
Judgment and Decision Making, 2020 Manipulations for activating reflective thinking, although regularly used in the literature, have not previously been systematically compared. There are growing concerns about the effectiveness of these methods as well as increasing demand for them. Here,
Ozan Isler +2 more
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