Tag: AI fairness
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Fairness Emerges in Multi-Agent AI Collaboration
Explore how fairness arises from multi-agent AI interactions, overcoming biases and Arrow's Impossibility in collaborative decision-making.
Edu-MMBias: Auditing Social Bias in Vision-Language Models
Discover Edu-MMBias, a benchmark for auditing social bias in vision-language models within education, ensuring fairness across cognitive, affective, and be...
Federated Geometry-Aware Correction Boosts Exemplar Replay
Improve federated continual learning with FEAT: geometry-aware correction enhances exemplar replay under dynamic data heterogeneity and class imbalance.
Uncovering Tone-Based Bias in LLMs and Emoji Models
Explore how tone-based biases in LLMs and emoji embeddings impact digital communication and why addressing these AI biases is crucial for inclusion.
CAFP: Post-Processing for Group Fairness in ML Models
Discover CAFP, a model-agnostic post-processing method that ensures group fairness in ML predictions without retraining or modifying models.