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Benchmarking Cognitive Biases in Large Language Models as Evaluators [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2023
Large Language Models are cognitively biased judges. Large Language Models (LLMs) have recently been shown to be effective as automatic evaluators with simple prompting and in-context learning.
Ryan Koo   +5 more
semanticscholar   +1 more source

Risks of Observable and Unobservable Biases in Artificial Intelligence Predicting Consumer Choice [PDF]

open access: yesAmfiteatru Economic, 2021
Companies are increasingly adopting Artificial Intelligence (AI) today. Recently however debates started over the risk of human cognitive biases being replicated (and scaled) by AI.
Florian Teleaba   +3 more
doaj   +1 more source

How Cognitive Biases Affect XAI-assisted Decision-making: A Systematic Review

open access: yesAAAI/ACM Conference on AI, Ethics, and Society, 2022
The field of eXplainable Artificial Intelligence (XAI) aims to bring transparency to complex AI systems. Although it is usually considered an essentially technical field, effort has been made recently to better understand users' human explanation methods
Astrid Bertrand   +3 more
semanticscholar   +1 more source

Further validation of the Cognitive Biases Questionnaire for psychosis

open access: yesBMC Psychiatry, 2022
Background Cognitive biases are recognized as important treatment targets for reducing symptoms associated with severe mental disorders. Although cognitive biases have been linked to symptoms in most studies, few studies have looked at such biases ...
Crystal Samson   +9 more
doaj   +1 more source

A Critical Review on the Book Fundamentals of Behavioral Economics and Finance [PDF]

open access: yesپژوهش‌نامۀ انتقادی متون و برنامه‌های علوم انسانی, 2021
The Fundamentals of behavioral economics and finance by Ali Saidi and Seyed Mohamad Javad Farhanian was first published in 2012 and the second edition was out in 2015.
Narges Hajimoladarvish
doaj   +1 more source

The KOALA-study: study protocol for a comprehensive study of cognitive biases in adolescent anorexia nervosa patients compared to healthy and clinical controls

open access: yesJournal of Eating Disorders, 2021
Background Anorexia nervosa (AN) is characterized by dysfunctional cognitions including cognitive biases at various levels of information processing. However, less is known about the specificity of these biases, i.e., if they occur for eating-disorder ...
Anca Sfärlea   +3 more
doaj   +1 more source

Cognitive Biases Questionnaire for Psychosis (CBQp): Spanish Validation and Relationship With Cognitive Insight in Psychotic Patients

open access: yesFrontiers in Psychiatry, 2021
Introduction: Cognitive biases are key factors in the development and persistence of delusions in psychosis. The Cognitive Biases Questionnaire for Psychosis (CBQp) is a new self-reported questionnaire of 30 relevant situations to evaluate five types of ...
Lia Corral   +43 more
doaj   +1 more source

Mapping dynamic interactions among cognitive biases in depression [PDF]

open access: yes, 2020
Depression is theorized to be caused in part by biased cognitive processing of emotional information. Yet, prior research has adopted a reductionist approach that does not characterize how biases in cognitive processes such as attention and memory work ...
Bernstein, Amit   +3 more
core   +1 more source

Bias-Aware Systems: Exploring Indicators for the Occurrences of Cognitive Biases when Facing Different Opinions

open access: yesInternational Conference on Human Factors in Computing Systems, 2023
Cognitive biases have been shown to play a critical role in creating echo chambers and spreading misinformation. They undermine our ability to evaluate information and can influence our behaviour without our awareness.
Nattapat Boonprakong   +4 more
semanticscholar   +1 more source

The Role of Cognitive Biases In Conspiracy Beliefs: A Literature Review

open access: yesSocial Science Research Network, 2023
In recent years, several studies have found that conspiracy believers tend to be more susceptible to cognitive biases (e.g., conjunction fallacy, proportionality bias, agency detection bias, etc.).
L. Gagliardi
semanticscholar   +1 more source

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