Explainable TabNet model predicts workforce performance scores in benchmark dataset
An explainable TabNet framework achieved an R² of 0.9880 when predicting employee performance from 100,000 workforce records, while its authors ...
Tag: algorithmic fairness
Systematic Review Weighs Which Machine Learning Models Best Detect Bias in Mortgage Lending
A systematic review of mortgage-lending fairness research finds decision trees offer the most interpretable bias detection while neural networks and ...
AI Echocardiography Shows No Systematic Sex Bias in Retrospective Swedish Study
A retrospective Swedish study of 183 patients found no systematic sex-related differences in how an AI echocardiography tool agreed with ...
Bias Detection and Fairness Auditing in Large Language Models Remain Fragmented, Review Finds
A new review in Discover Artificial Intelligence finds that bias detection and fairness auditing techniques for large language models remain ...
Zambian HIV records expose data gaps that can distort AI
A six-facility assessment of 246,053 Zambian HIV records found pervasive gaps, implausible values and denominator-dependent outcomes that could allow AI ...
New Diagnostic Tool Probes Feature-Level Bias in Dutch Health Algorithms
A new diagnostic framework applied to Dutch health records reveals that standard fairness metrics can hide feature-level patterns of algorithmic ...
AI That Reads Brain Scans Fairly: New Method Strips Age Bias From Alzheimer’s Deep Learning Models
A German research team has shown that a GLM-based residualization method removes age confounding from MRI-based Alzheimer's classifiers far more ...
AI Flags Hidden Self-Harm History in Europe’s Emergency Rooms
An interpretable machine learning model trained on European injury surveillance data can identify emergency department patients whose records show documented ...
How We Measure Recommenders Matters: Rethinking Evaluation for Real-World Search and Recommendation
A new Frontiers in Big Data editorial argues that recommender and search systems must be evaluated with robust, responsible and ...
AI Learns to Scrub Bias From Fake Data Before It Poisons Real Decisions
Researchers have unveiled SENNA, a framework that combines disentangled semantic representations with large language models to generate synthetic tabular data ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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