Results 281 to 290 of about 3,053,264 (345)
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Judgment under Uncertainty: Heuristics and Biases
Science, 1974Daniel Kahneman
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Public Choice, 2008 We examine the effects of providing more accurate information to a political decision-maker lobbied by competing interests. We investigate how this bias in the direction of the correct decision affects efficiency, measured (inversely) by both the probability of taking an incorrect decision, and the amount of social waste associated to lobbying ...
Matthias Dahm, Nicolás Porteiro
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Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
International Conference on Learning Representations, 2023Recent works have showcased the ability of LLMs to embody diverse personas in their responses, exemplified by prompts like 'You are Yoda. Explain the Theory of Relativity.' While this ability allows personalization of LLMs and enables human behavior ...
Shashank Gupta +6 more
semanticscholar +1 more source
Biased Priorities, Biased Outcomes
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 2020In this paper, we analyze the relation between data-related biases and practices of data annotation, by placing them in the context of market economy. We understand annotation as a praxis related to the sensemaking of data and investigate annotation practices for vision models by focusing on the values that are prioritized by industrial decision-makers
Gunay Kazimzade, Milagros Miceli
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The cognitive biases of cognitive biases
Emergency Medicine Australasia, 2021AbstractAn increased awareness of the cognitive biases of clinical decision making over the last decade has not resulted in a corresponding decrease in clinician error. The inappropriate use of cognitive bias labels in adverse incident reviews can result in unintentional or intentional blame.
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The Lancet Digital Health
BACKGROUND Large language models (LLMs) such as GPT-4 hold great promise as transformative tools in health care, ranging from automating administrative tasks to augmenting clinical decision making. However, these models also pose a danger of perpetuating
T. Zack +11 more
semanticscholar +1 more source
BACKGROUND Large language models (LLMs) such as GPT-4 hold great promise as transformative tools in health care, ranging from automating administrative tasks to augmenting clinical decision making. However, these models also pose a danger of perpetuating
T. Zack +11 more
semanticscholar +1 more source
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
International Conference on Learning RepresentationsLLM-as-a-Judge has been widely utilized as an evaluation method in various benchmarks and served as supervised rewards in model training. However, despite their excellence in many domains, potential issues are under-explored, undermining their ...
Jiayi Ye +11 more
semanticscholar +1 more source
Cognitive Biases in Search: A Review and Reflection of Cognitive Biases in Information Retrieval
Conference on Human Information Interaction and Retrieval, 2021People are susceptible to an array of cognitive biases, which can result in systematic errors and deviations from rational decision making. Over the past decade, an increasing amount of attention has been paid towards investigating how cognitive biases ...
L. Azzopardi
semanticscholar +1 more source
Journalism Studies, 2012
This study investigated the causes of individuals’ perceived news bias in an authoritarian press system—Singapore. We proposed two explanations for individuals’ perception of news article slant: the judgment-heuristic explanation and the attitude-influenced explanation.
Stella C. Chia, Mark Cenite
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This study investigated the causes of individuals’ perceived news bias in an authoritarian press system—Singapore. We proposed two explanations for individuals’ perception of news article slant: the judgment-heuristic explanation and the attitude-influenced explanation.
Stella C. Chia, Mark Cenite
openaire +1 more source
Mechanisms of attentional biases towards threat in anxiety disorders: An integrative review
Clinical Psychology Review, 2010 Josh M Cisler, Ernst H W Koster
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