Results 31 to 40 of about 14,401 (279)
The heuristics gap in AI ethics: Impact on green AI policies and beyond
Journal of Responsible TechnologyThis article analyses the negative impact of heuristic biases on the main goals of AI ethics. These biases are found to hinder the identification of ethical issues in AI, the development of related ethical policies, and their application.
Guglielmo Tamburrini
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Overlap of accessible information undermines the anchoring effect [PDF]
Judgment and Decision Making, 2016 According to the Selective Accessibility Model of anchoring, the comparison question in the standard anchoring paradigm activates information that is congruent with an anchor. As a consequence, this information will be more likely to become the basis for
Štěpán Bahník, Fritz Strack
doaj
Clinical decision making and mental health: On challenges in assessment, junk science and social trends [PDF]
Psihološka IstraživanjaJudgement and decision making are rife with cognitive biases. Despite their everyday fitness, these can affect clinical assessment, which may lead to erroneous decisions.
Mandić David
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Arthritis Care &Research, EarlyView.Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim +2 more
wiley +1 more source
Biased Exploration for Satisficing Heuristic Search
Proceedings of the International Conference on Automated Planning and Scheduling, 2022 Satisficing heuristic search such as greedy best-first search (GBFS) suffers from local minima, regions where heuristic values are inaccurate and a good node has a worse heuristic value than other nodes. Search algorithms that incorporate exploration mechanisms in GBFS empirically reduce the search effort to solve difficult problems.
Ryo Kuroiwa 0002, J. Christopher Beck
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Advanced Engineering Materials, EarlyView.This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Heuristics And Biases In Narrative And Non-Narrative Risk Messages [PDF]
, 2015 Understanding the cognitive heuristics people use to make decisions and the biases in judgment resulting from their use has been a focus of risk communication research for nearly forty years.
Steinhardt, Joseph
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Advanced Materials, EarlyView.Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani +10 more
wiley +1 more source
The 'heuristics and biases' bias in expert elicitation
, 2007 In the early 1970s Tversky and Kahneman published a series of papers on 'heuristics and biases' describing human inadequacies in assessing probabilities, culminating in a highly popular article in "Science".
Kynn, Mary, Mary Kynn
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Advanced Materials, EarlyView.ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source