Beyond Accuracy: Data Quality for Trustworthy AI

This presentation explores challenges and innovations in data cleaning, emphasizing its critical role in machine learning model performance and fairness. It contrasts traditional rule-based methods with automated, task-aware approaches that optimize predictive accuracy and adaptability. Key methodologies include reinforcement learning, probabilistic inference, and LLM-powered solutions. Advancements in interactive workflows and dynamic data integration are highlighted alongside persistent...