#bias-in-machine-learning

#bias-in-machine-learning

Excessive data augmentation can induce significant bias in model performance, differentiating among various data classes. [ more ]

The study addresses mainstream bias in recommender systems by aiming to improve utility for niche users while preserving utility for mainstream users. [ more ]

Bias in machine learning is intrinsic and must be managed by determining acceptable biases. [ more ]