Tag: AI bias mitigation
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Demographics-Agnostic Training for Fair Wake-up Word Detection
Explore how demographics-agnostic training reduces bias in wake-up word detection, improving fairness across sex, age, and accent groups.
CRAB: Mitigating Popularity Bias in Generative Recommendations
Discover CRAB, a novel codebook rebalancing method that reduces popularity bias and improves fairness in generative recommendation systems.
Council Mode: Reducing Hallucination & Bias in LLMs
Discover how Council Mode uses multi-agent consensus to cut hallucinations and bias in large language models, boosting accuracy and fairness.
Mitigating Propaganda in LLMs: Rhetoric Generation Explained
Explore how large language models generate propaganda and learn effective mitigation strategies like ORPO to reduce manipulative content.
Mitigating Popularity Bias in Personalized Recommendations
Discover how SPREE and Popularity Quantile Calibration improve user alignment and reduce popularity bias in recommender systems for better personalization.