Description: Policy interpretation in the context of explainable AI refers to the analysis of the rules or guidelines that govern the behavior of artificial intelligence models. This process is fundamental for understanding how and why a model makes specific decisions, allowing developers and users to assess the transparency and fairness of AI systems. Policy interpretation involves breaking down the model’s decisions into understandable terms, facilitating the identification of biases, errors, and areas for improvement. Furthermore, it is crucial to ensure that AI models operate within established ethical and legal boundaries, promoting trust in their use. As AI becomes integrated into various applications, from healthcare to finance, policy interpretation becomes an essential tool for ensuring that these technologies are responsible and aligned with human values. In summary, policy interpretation not only helps demystify the internal workings of AI models but also fosters a broader dialogue about ethics and governance in the field of artificial intelligence.
