Dialect-Sensitive AI Training

Propose a methodology for building language models that robustly recognize and respond across a broad set of dialects. Include data collection strategies, labeling standards, bias mitigation, evaluation metrics, and governance to ensure fair, accurate, and context-aware NLP performance.