Artificial intelligence (AI) is revolutionizing various sectors by enhancing data processing and decision-making capabilities beyond human limits. However, as AI systems grow more sophisticated, they become increasingly opaque, raising concerns about transparency, trust, and fairness. 

The “black box” nature typical in most AI systems often leaves stakeholders questioning the origins and reliability of AI-generated outputs. In response, technologies like Explainable AI (XAI) have emerged looking to demystify AI operations, though they often fall short of fully clarifying its complexities.

As AI’s intricacies continue to evolve, so too does the need for robust mechanisms to ensure these systems are not only effective but also trustworthy and fair. Enter blockchain technology, known …