Beyond Accuracy: Data Quality for Trustworthy AI

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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...