Anchors and Counterfactuals

Welcome to this beginner-friendly lesson on Anchors and Counterfactual Explanations — two powerful techniques in Explainable AI (XAI) used to understand individual machine learning predictions.
In this video, we break down how these methods help explain black-box AI systems in simple and practical ways.
We cover:
• What Anchors are in Explainable AI
• How Anchors create rule-based local explanations
• What Counterfactual Explanations are
• How small changes can alter AI predictions
• Anchors vs Counterfactuals explained
• Why these methods matter in Responsible AI
• Real-world use cases in finance, hiring, healthcare, and lending
Anchors explain predictions using clear IF-THEN style rules, while Counterfactuals explain what would need to change for a different outcome.
These methods help improve transparency, fairness, accountability, and trust in AI systems.
This video is perfect for beginners, students, and anyone learning Artificial Intelligence, Machine Learning, or Explainable AI.
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Видео Anchors and Counterfactuals канала AI Decoded - Official