AIMC Topic: Bias

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The Data Artifacts Glossary: a community-based repository for bias on health datasets.

Journal of biomedical science Feb 4, 2025
BACKGROUND: The deployment of Artificial Intelligence (AI) in healthcare has the potential to transform patient care through improved diagnostics, personalized treatment plans, and more efficient resource management. However, the effectiveness and fa...
Datasets as Topic Artificial Intelligence Bias Humans
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Ethical and security challenges in AI for forensic genetics: From bias to adversarial attacks.

Forensic science international. Genetics Jan 27, 2025
Forensic scientists play a crucial role in assigning probabilities to evidence based on competing hypotheses, which is fundamental in legal contexts where propositions are presented usually by prosecution and defense. The likelihood ratio (LR) is a w...
Humans Likelihood Functions Forensic Genetics Artificial Intelligence Machine Learning Bias Pedigree
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On spectral bias reduction of multi-scale neural networks for regression problems.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2025
In this paper, we derive diffusion equation models in the spectral domain to study the evolution of the training error of two-layer multiscale deep neural networks (MscaleDNN) (Cai and Xu, 2019; Liu et al., 2020), which is designed to reduce the spec...
Algorithms Regression Analysis Humans Bias Neural Networks, Computer
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Reducing bias in source-free unsupervised domain adaptation for regression.

Neural networks : the official journal of the International Neural Network Society Jan 17, 2025
Due to data privacy and storage concerns, Source-Free Unsupervised Domain Adaptation (SFUDA) focuses on improving an unlabelled target domain by leveraging a pre-trained source model without access to source data. While existing studies attempt to tr...
Unsupervised Machine Learning Bias Regression Analysis Humans Neural Networks, Computer
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Humor as a window into generative AI bias.

Scientific reports Jan 8, 2025
A preregistered audit of 600 images by generative AI across 150 different prompts explores the link between humor and discrimination in consumer-facing AI solutions. When ChatGPT updates images to make them "funnier", the prevalence of stereotyped gr...
Wit and Humor as Topic Bias Stereotyping Humans Artificial Intelligence Female Male
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Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review.

Journal of medical Internet research Jan 7, 2025
BACKGROUND: Artificial intelligence (AI) predictive models in primary health care have the potential to enhance population health by rapidly and accurately identifying individuals who should receive care and health services. However, these models als...
Humans Female Male Artificial Intelligence Algorithms Primary Health Care Bias
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Bias in adjudication: Investigating the impact of artificial intelligence, media, financial and legal institutions in pursuit of social justice.

PloS one Jan 3, 2025
The latest global progress report highlights numerous challenges in achieving justice goals, with bias in artificial intelligence (AI) emerging as a significant yet underexplored issue. This paper investigates the role of AI in addressing bias within...
Social Justice Bias Humans Sustainable Development Artificial Intelligence
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Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation.

The Journal of applied psychology Dec 30, 2024
Machine learning (ML) models are increasingly used for personnel assessment and selection (e.g., resume screeners, automatically scored interviews). However, concerns have been raised throughout society that ML assessments may be biased and perpetuat...
Humans Bias Machine Learning Personnel Selection Algorithms
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Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification.

Scientific reports Dec 30, 2024
Accurate diagnosis of oral lesions, early indicators of oral cancer, is a complex clinical challenge. Recent advances in deep learning have demonstrated potential in supporting clinical decisions. This paper introduces a deep learning model for class...
Humans Mouth Neoplasms Image Processing, Computer-Assisted Bias Neural Networks, Computer Deep Learning
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Ascertaining provider-level implicit bias in electronic health records with rules-based natural language processing: A pilot study in the case of prostate cancer.

PloS one Dec 30, 2024
PURPOSE: Implicit, unconscious biases in medicine are personal attitudes about race, ethnicity, gender, and other characteristics that may lead to discriminatory patterns of care. However, there is no consensus on whether implicit bias represents a t...
Prostatic Neoplasms Natural Language Processing Bias Middle Aged Health Personnel Aged Humans Pilot Projects Electronic Health Records Male
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