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law
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The Impact of Cognitive Biases on Professionals' Decision-Making frontiersin.org 12 facts
claimThere is significant research interest in the impact of cognitive biases on professional decision-making across the fields of management, finance, medicine, and law.
perspectiveFuture research on professional decision-making should prioritize the development of context-specific cognitive bias measurement instruments for the fields of management, finance, and law.
referenceThe study titled 'The Impact of Cognitive Biases on Professionals' Decision-Making' reviews research on the impact of cognitive biases on professional decision-making in four specific areas: management, finance, medicine, and law.
referenceResearch in the field of law regarding cognitive biases includes studies by Berlin and Hendrix (1998) (hindsight bias, narrative), Bystranowski et al. (2021) (anchoring effect, review), Casper et al. (1989) (hindsight bias, empirical), Chapman and Bornstein (1996) (anchoring effect, empirical), Cheney et al. (1989) (hindsight bias, empirical), Englich et al. (2005) (anchoring effect, empirical), Englich et al. (2006) (anchoring effect, empirical), Enough and Mussweiler (2001) (anchoring effect, empirical), Findley and Scott (2006) (confirmation bias, theoretical), Guthrie et al. (2001) (empirical), Guthrie et al. (2007) (empirical), Guthrie et al. (2002) (narrative), Harley (2007) (hindsight bias, review), Hastie et al. (1999) (anchoring effect, empirical), Helm et al. (2016) (empirical), Hinsz and Indahl (1995) (anchoring effect, empirical), Kamin and Rachlinski (1995) (hindsight bias, empirical), LaBine and LaBine (1996) (hindsight bias, empirical), Lidén et al. (2019) (confirmation bias, empirical), O’Brien (2009) (confirmation bias, empirical), Oeberst and Goeckenjan (2016) (hindsight bias, review), Peer and Gamliel (2013) (narrative), Rachlinski and Wistrich (2017) (narrative), Rachlinski (2018) (framing effect, empirical), Rachlinski et al. (2011) (hindsight bias, empirical), Rachlinski et al. (2015) (anchoring effect, empirical), and Robbennolt and Studebaker (1999) (anchoring effect, empirical).
claimThe impact of cognitive biases on decision-making in medicine and law is primarily evidenced through vignette studies, which are considered to have a mid-level of evidence due to ecological validity concerns.
claimResearch on cognitive biases has expanded from lay participants to professional decision-making in management (Maule and Hodgkinson, 2002), finance (Baker and Nofsinger, 2002), medicine (Blumenthal-Barby and Krieger, 2015), and law (Rachlinski, 2018).
claimThe paper 'The Impact of Cognitive Biases on Professionals' Decision-Making' aims to provide an overview of the impact of cognitive biases on professional decision-making in the fields of management, finance, medicine, and law.
claimThe article 'The Impact of Cognitive Biases on Professionals' Decision-Making: A Review of Four Occupational Areas' examines the role of cognitive biases and heuristics within the fields of management, finance, medicine, and law.
claimResearch on cognitive biases in finance relies primarily on secondary data, whereas research in medicine and law relies mainly on primary data from vignette studies.
claimOverconfidence is the most recurrent cognitive bias across management, finance, medicine, and law.
claimA review of research on cognitive biases in management, finance, medicine, and law identified that a dozen cognitive biases impact professional decision-making, with overconfidence being the most recurrent bias.
measurementThe study selected four applied areas for review based on the highest number of publications: management (436 publications), medicine (517 publications), law (110 publications), and finance (70 publications).
Evolutionary psychology - Wikipedia en.wikipedia.org 3 facts
referenceEvolutionary Psychological Science is an international, interdisciplinary forum for original research papers that address evolved psychology, spanning social and life sciences, anthropology, philosophy, criminology, law, and the humanities.
referenceThe Society for Evolutionary Analysis in Law is a scholarly association dedicated to fostering interdisciplinary exploration of issues at the intersection of law, biology, and evolutionary theory.
claimThe theories and findings of evolutionary psychology have applications in economics, environment, health, law, management, psychiatry, politics, and literature.
Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 2 facts
claimLarge-scale Knowledge Graphs often exhibit limited representation in specialized domains such as medicine and law, where many entities and relations are missing or weakly connected, creating a coverage gap and structural sparsity that limits their usefulness in tasks requiring nuanced domain-specific reasoning.
claimThe lack of clear knowledge provenance in knowledge graph-enhanced large language model systems, where it is unclear which knowledge source or triple contributes to a prediction, undermines trust and hinders use in high-stakes domains such as healthcare, law, and finance.
A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Dec 9, 2025 2 facts
claimIn high-stakes domains such as healthcare, law, or education, the use of neuro-symbolic systems with opaque, unchallengeable symbolic rules may undermine user autonomy and contestability.
claimFuture research in neuro-symbolic AI should focus on developing standards for symbolic rule auditing, institutional governance frameworks, and interdisciplinary collaborations between the fields of AI, law, and ethics.
Europe's quest for strategic autonomy in response to Trumpism link.springer.com Dec 8, 2025 1 fact
referenceLoïc Azoulai (2016) describes law as more than a functional tool, characterizing it as an antidote to force, a means to achieve peace, a cultural or symbolic form, a carrier of a new spirit of cooperation and solidarity, a medium for containing political, economic, and social forces, and the cement holding divergent forces together.
Survey and analysis of hallucinations in large language models frontiersin.org Sep 29, 2025 1 fact
claimWeidinger et al. (2022) assert that the stakes of hallucination in high-risk domains such as medicine, law, and education are far higher than in open-domain tasks.
Knowledge Graph Combined with Retrieval-Augmented Generation ... drpress.org Dec 2, 2025 1 fact
claimIn specialized domains such as law, medicine, and science, text generation by Large Language Models (LLMs) often suffers from a lack of coherence and logical consistency, particularly when tasks require multi-hop reasoning and analysis.
Parent–child attachment and adolescent problematic behavior frontiersin.org Feb 26, 2025 1 fact
referenceWestern studies define legal cynicism as an emotional state of contempt and pessimism toward the law and examine its impact on individuals’ subsequent behavior.
Neuro-Symbolic AI: Explainability, Challenges & Future Trends linkedin.com Dec 15, 2025 1 fact
claimNeuro-symbolic AI improves trust and accountability in sensitive domains like healthcare, law, and autonomous systems by facilitating transparent, auditable reasoning paths.
Epistemology - Wikipedia en.wikipedia.org 1 fact
referenceMichael Slote authored 'Ying/Yang Epistemology' in 2021, published in 'Facts and Evidence: A Dialogue Between Philosophy and Law' by China University of Political Science and Law Press.
Benchmarking Hallucination Detection Methods in RAG - Cleanlab cleanlab.ai Sep 30, 2024 1 fact
claimHallucination detection algorithms are critical in high-stakes applications such as medicine, law, and finance, where they can flag untrustworthy responses for human review or trigger more expensive retrieval steps like searching additional data sources or rewriting queries.