Verifiable AI: Enhancing FATE with Provenance Intelligence

This paper explores the integration of Provenance Intelligence into the FATE (Fairness, Accountability, Transparency, and Explainability) framework to enhance the verifiability of AI systems. Provenance Intelligence involves tracking and documenting the origins, transformations, and usage of data throughout the AI lifecycle. By embedding provenance information, AI systems can provide clearer insights into decision-making processes, identify and mitigate biases, ensure accountability, and foster user trust. This approach aligns with emerging standards and tools that aim to combat misinformation, ensure data integrity, and uphold ethical AI practices.