AI transparency refers to the practice of making the workings and decision-making processes of artificial intelligence systems understandable to users. This includes explaining how AI models operate, the data they use, and the rationale behind their decisions. AI transparency is crucial for building trust, ensuring accountability, and addressing ethical concerns in AI applications.
To ensure AI systems are transparent and fair, we implement various techniques such as explainability, interpretability, fairness, and bias detection.…