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What is the importance of explainability in safety-critical AI systems?
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Answer / Ravi Kumar Verma
Explainability is essential for understanding and trusting AI systems, especially those with critical safety implications. Interpretable models can provide insights into how decisions are made, allowing humans to identify errors, biases, or unintended consequences that may arise from AI decision making. Transparency also fosters accountability and enables compliance with regulations.
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