XAI techniques can be broadly categorized into two approaches:
Model-agnostic methods: These work for any AI model, like LIME (Local Interpretable Model-agnostic Explanations) which creates a simpler model to explain a complex one's predictions.
Model-specific methods: These leverage the inner workings of a specific AI model type, such as feature importance in machine learning, highlighting which data points mattered most in a decision.