News
NYU and others introduces T-Explainer: A Novel AI Framework for Consistent and Reliable Machine Learning Model Explanations
The T-Explainer integrates seamlessly with existing frameworks, enhancing its utility. It has been applied effectively across various model types, showcasing flexibility that is not always present in other explanatory frameworks. Its ability to provide consistent and understandable explanations enhances the trust in AI systems and facilitates a more informed decision-making process, making it invaluable in critical applications.
Read more here.