Fairness Audit Exposes Cultural and Demographic Bias in AI Survey Simulations
A fairness audit reveals that large language models simulate American public opinion far more accurately than Chilean responses while displaying ...
A fairness audit reveals that large language models simulate American public opinion far more accurately than Chilean responses while displaying ...
A study of registered nurses reveals that workplace fairness reduces turnover intentions both directly and by strengthening organizational commitment.
A new preprocessing framework generates synthetic data to reduce representation bias in machine learning models while maintaining competitive predictive performance.
University of Washington researchers found that leading AI models ranked Chinese and Nigerian accents lowest and American and British accents ...
A new Fisher's information-based method calculates the sample size needed to ensure clinical prediction models with continuous outcomes deliver precise, ...
A five-stage aggregation framework called Hybrid Fair reports top F1 scores in six of eight model–dataset combinations while cutting blockchain ...
A Chicago study combining missing-data reconstruction, LSTM forecasting and RHP-based regularization reported up to 50% better spatial equity with an ...
A structure-coefficient theorem unifies the effects of network changes, strategy updates and mutation, and identifies dynamic core–periphery networks as promoting ...
A 2025 cross-sectional survey of 349 University of Khartoum medical students found moderate AI ethical awareness associated with informal exposure, ...
A national survey finds that most U.S. medical schools review applicants' online presence even though over 90 percent have no ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine