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Explainable AI: Peering Inside the Black Box

Making deep learning models interpretable and trustworthy.

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Vijayakumar S
May 1, 202611 min read
Explainable AI Visualization

Why XAI Matters

As AI makes more critical decisions (medical diagnosis, loan approval, hiring), explainability becomes mandatory for regulatory compliance and trust.

Modern XAI Techniques

  • Concept Bottleneck Models: Predict human-understandable concepts first
  • Attention Visualization: See what the model focuses on
  • Feature Attribution: Which inputs influenced the output?
  • Counterfactual Explanations: "What would need to change to get a different result?"
VI
Vijayakumar S
AI Engineer 路 ML Enthusiast

Passionate about building intelligent systems, speech synthesis, and LLM applications. Writing about the tools and ideas shaping the next decade of software.