Top 3 Explainable AI (XAI) Aspects

The following are top three aspects of XAI:

• Transparency:
• Ensures that the decision-making process of AI models is clear and understandable to stakeholders. Involves making the inner workings of the model visible and comprehensible, this helps in identifying how decisions are made.
• Interpretability:
• Refers to the ability to explain or present the AI model’s decisions so that humans can understand. This lets users to trust and effectively use AI systems. Techniques such as LIME (Local Interpretable Model-agnostic Explanations) and SHAP (SHapley Additive exPlanations) are used to interpret these complex models.
• Fairness:
• XAI ensures that AI models have unbiased decisions and treat all individuals and groups equitably. This is critical for preventing discrimination and for ensuring that AI systems are ethical and just.