transparency and interpretability of ai models
Transparency and interpretability of AI models refer to the ability to understand and explain how the models arrive at their decisions or predictions, allowing us to gain insights into their inner workings and assess their reliability. It involves making AI algorithms and processes more comprehensible, accessible, and accountable, enabling users and researchers to trust, validate, and improve the models.
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