transparency and explainability in ai

Transparency and explainability in AI refers to the ability to understand and interpret the decisions made by artificial intelligence systems. Transparency means making the inner workings, algorithms, and data used by AI systems accessible and understandable to humans. Explainability means being able to provide justifications and explanations for why the AI system arrived at a particular decision or prediction. These principles aim to ensure that AI is accountable, trustworthy, and can be scrutinized by humans, minimizing biases, errors, and unintended consequences.

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