The remarkable potential of AI-driven innovations, such as predictive analytics, credit scoring optimization, and anomaly detection techniques, is a testament to the transformative impact of artificial intelligence on the financial landscape.

In this article, we have thoroughly examined the intricate interplay between zero-knowledge proofs and machine learning, emphasizing the significance of privacy-preserving computation while maintaining the accuracy and utility of the models.