The term Explainable AI refers to a set of methods and processes that allows humans to understand the decisions or predictions made by the AI. For explainers (such as the SHAP explainer), original model and training data is needed. When the synthetic data is accurate, they can be used as drop-in replacement for actual data to help interpret sophisticated ML models.
We use third-party web analytics tools to analyze website usage and measure the success of advertising campaigns. Cookies are set in the process and data is partly transferred to the USA. Further details can be found in our privacy policy. You can revoke or adjust your selection at any time under Settings.
Here you will find an overview of all cookies used. You can give your consent to whole categories or display further information and select certain cookies.