Results 11 to 20 of about 6,437 (212)
, 2004 Human beings are often boundedly rational. In the face of bounded rationality, the legal system might attempt either to debias law, by insulating legal outcomes from the effects of boundedly rational behavior, or instead to debias through law, by ...
Jolls, Christine, Sunstein, Cass R.
core +4 more sources
Findings of the Association for Computational Linguistics: ACL 2023, 2023 Debiasing methods that seek to mitigate the tendency of Language Models (LMs) to occasionally output toxic or inappropriate text have recently gained traction.
Kabbara, Jad +2 more
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ADEPT: A DEbiasing PrompT Framework
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Several works have proven that finetuning is an applicable approach for debiasing contextualized word embeddings. Similarly, discrete prompts with semantic meanings have shown to be effective in debiasing tasks.
Yang, Ke +4 more
core +3 more sources
Critical Thinking Education and Debiasing [PDF]
Informal Logic, 2014 There are empirical grounds to doubt the effectiveness of a common and intuitive approach to teaching debiasing strategies in critical thinking courses. We summarize some of the grounds before suggesting a broader taxonomy of debiasing strategies.
Guillaume Beaulac +3 more
core +6 more sources
See the small lesions: Frequency-guided spatial debiasing GAN for multimodal medical image fusion. [PDF]
iScienceSummary: Multimodal medical image fusion uses these features from different modalities to generate fused images with richer information for diagnosis. However, in medical images, the lesion area only constitutes a small portion, and feature extraction is
Zhou T +6 more
europepmc +2 more sources
USING DEBIASING TECHNIQUES TO IMPROVE FINANCIAL BEHAVIOR [PDF]
Buletin ştiinţific: Universitatea din Piteşti. Seria Ştiinţe Economice, 2021 To overcome the systematic biases and environmental traps identified by behavioral economists, there was a need of finding the so-called debiasing techniques, including techniques focused on the individuals and the environment, and this paper offers ...
Alin ISTOCESCU
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Conceptual foundations on debiasing for machine learning-based software [PDF]
, 2022 Machine learning (ML)-based software’s deployment has raised serious concerns about its pervasive and harmful consequences for users, business, and society inflicted through bias. While approaches to address bias are increasingly recognized and developed,
Fahse, Tobias Benjamin +2 more
core +7 more sources
Quota-based debiasing can decrease representation of the most under-represented groups
Royal Society Open Science, 2021 Many important decisions in societies such as school admissions, hiring or elections are based on the selection of top-ranking individuals from a larger pool of candidates.
I. Smirnov, F. Lemmerich, M. Strohmaier
doaj +1 more source
FairCareNLP: An AI-driven patient review analyzer for healthcare. [PDF]
PLoS OneObjectiveTo develop and evaluate an automatic patient review analyzer that applies advanced Natural Language Processing (NLP) and machine learning methods to improve the efficiency, fairness, and accuracy of healthcare feedback analysis.Materials and ...
Momtaz Esfahani SMP +5 more
europepmc +2 more sources
PLoS ONE, 2023 The spread and influence of misinformation have become a matter of concern in society as misinformation can negatively impact individuals' beliefs, opinions and, consequently, decisions.
Jana Siebert, Johannes Ulrich Siebert
doaj +1 more source