About The Project
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Our Training Tips
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The ability to explain a model after it has been developed.
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Transparent model architectures and increasing how intuitive and understandable.
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Sociological fairness in machine learning predictions.
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Debugging and deploying ML models with similar counter-measures.
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Making sure your AI systems meet the relevant regulatory requirements.
Overview & Challenge
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