#fairness-in-ai

#fairness-in-ai

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

Researchers propose methods to assess and test the reliability of AI and NLP software, focusing on adversarial examples and fairness evaluation. [ more ]

Perception of fairness in decision-making varies based on how questions are formulated. [ more ]