How would you improve model explainability for a black-box generative AI model used in content creation for automated journalism

Question

With the help of python programming can you tell me How would you improve model explainability for a black-box generative AI model used in content creation for automated journalism?

Answer 1

Yes, model explainability for a black-box generative AI in automated journalism can be improved using SHAP (SHapley Additive Explanations) to interpret feature importance. Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Uses SHAP to explain feature importance in generative AI models.

• Provides interpretable insights for automated journalism content.

• Visualizes SHAP values to understand model decisions.

Hence, SHAP enhances explainability by attributing feature contributions in AI-generated journalism.