AI systems rely heavily on the quality and transparency of their training data. Without understanding how data is collected, selected, and transformed, users cannot gauge the reliability of AI models. By enhancing visibility into these processes, trust can be fostered, allowing users to move beyond blind faith and engage with AI systems more confidently.
