AIMC Topic: Bias

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What social stratifications in bias blind spot can tell us about implicit social bias in both LLMs and humans.

Scientific reports Aug 19, 2025
Large language models (LLMs) are the engines behind generative Artificial Intelligence (AI) applications, the most well-known being chatbots. As conversational agents, they-much like the humans on whose data they are trained-exhibit social bias. The ...
Humans Artificial Intelligence Male Bias Social Perception Prejudice Language Female Adult
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Reducing bias in coronary heart disease prediction using Smote-ENN and PCA.

PloS one Aug 7, 2025
Coronary heart disease (CHD) is a major cardiovascular disorder that poses significant threats to global health and is increasingly affecting younger populations. Its treatment and prevention face challenges such as high costs, prolonged recovery per...
Coronary Disease Decision Trees Principal Component Analysis Bias Humans Male Support Vector Machine Machine Learning Algorithms
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Invulnerability bias in perceptions of artificial intelligence's future impact on employment.

Scientific reports Aug 6, 2025
The adoption of Artificial Intelligence (AI) is reshaping the labor market; however, individuals' perceptions of its impact remain inconsistent. This study investigates the presence of the Invulnerability Bias (IB), where workers perceive that AI wil...
Humans Artificial Intelligence Machine Learning Female Employment Perception Middle Aged Surveys and Questionnaires Bias Young Adult Adult Male
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Using a large language model (ChatGPT) to assess risk of bias in randomized controlled trials of medical interventions: protocol for a pilot study of interrater agreement with human reviewers.

BMC medical research methodology Jul 31, 2025
BACKGROUND: Risk of bias (RoB) assessment is an essential part of systematic reviews that requires reading and understanding each eligible trial and RoB tools. RoB assessment is subject to human error and is time-consuming. Machine learning-based too...
Pilot Projects Generative Artificial Intelligence Randomized Controlled Trials as Topic Observer Variation Large Language Models Bias Systematic Reviews as Topic Research Design Language Risk Assessment Humans Machine Learning
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Bias in vital signs? Machine learning models can learn patients' race or ethnicity from the values of vital signs alone.

BMJ health & care informatics Jul 10, 2025
OBJECTIVES: To investigate whether machine learning (ML) algorithms can learn racial or ethnic information from the vital signs alone.
Respiratory Rate Algorithms Middle Aged Retrospective Studies United States Humans Bias Machine Learning Vital Signs Aged Ethnicity Racial Groups Heart Rate Critical Illness Adult Intensive Care Units Male Female
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Methodological conduct and risk of bias in studies on prenatal birthweight prediction models using machine learning techniques: a systematic review.

BMC pregnancy and childbirth Jul 2, 2025
OBJECTIVE: To assess the methodological quality and the risk of bias, of studies that developed prediction models using Machine Learning (ML) techniques to estimate prenatal birthweight.
Bias Birth Weight Fetal Weight Female Humans Infant, Newborn Reproducibility of Results Machine Learning Research Design Pregnancy
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Beyond accuracy: a framework for evaluating algorithmic bias and performance, applied to automated sleep scoring.

Scientific reports Jul 1, 2025
Recent advancements in artificial intelligence (AI) have significantly improved sleep-scoring algorithms, bringing their performance close to the theoretical limit of approximately 80%, which aligns with inter-scorer agreement levels. While this sugg...
Humans Artificial Intelligence Reproducibility of Results Algorithms Male Sleep Female Adult Middle Aged Polysomnography Bias
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Mitigating data bias and ensuring reliable evaluation of AI models with shortcut hull learning.

Nature communications Jul 1, 2025
Shortcut learning poses a significant challenge to both the interpretability and robustness of artificial intelligence, arising from dataset biases that lead models to exploit unintended correlations, or shortcuts, which undermine performance evaluat...
Humans Reproducibility of Results Deep Learning Neural Networks, Computer Bias Artificial Intelligence Algorithms
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Large Language Model-Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Usability Study.

Journal of medical Internet research Jun 24, 2025
BACKGROUND: The revised Risk-of-Bias tool (RoB2) overcomes the limitations of its predecessor but introduces new implementation challenges. Studies demonstrate low interrater reliability and substantial time requirements for RoB2 implementation. Larg...
Large Language Models Risk Assessment Humans Language Randomized Controlled Trials as Topic Reproducibility of Results Bias
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Tailoring task arithmetic to address bias in models trained on multi-institutional datasets.

Journal of biomedical informatics Jun 8, 2025
OBJECTIVE: Multi-institutional datasets are widely used for machine learning from clinical data, to increase dataset size and improve generalization. However, deep learning models in particular may learn to recognize the source of a data element, lea...
Databases, Factual SARS-CoV-2 Deep Learning Humans Machine Learning COVID-19 Natural Language Processing Bias Datasets as Topic
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