
In the rapidly evolving world of artificial intelligence (AI), the importance of AI data provenance cannot be overstated. It serves as a crucial component in ensuring the reliability, trustworthiness, and accountability of AI models and their outputs. By establishing a comprehensive understanding of data origins and potential biases within it, organizations can take corrective measures to ensure fairness and equity










