Remove Black Box AI Remove Explainability Remove ML
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Enhancing AI Transparency and Trust with Composite AI

Unite.AI

Several times black-box AI models have produced unintended consequences, including biased decisions and lack of interpretability. Composite AI is a cutting-edge approach to holistically tackling complex business problems. Explainability is essential for accountability, fairness, and user confidence.

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How Do Inherently Interpretable AI Models Work? — GAMINET

Towards AI

Source: interpretable-ml-book The field of deep learning has grown exponentially and the recent craze about ChatGPT is proof of the same. It is very risky to apply these black-box AI systems in real-life applications, especially in sectors like banking and healthcare. arXiv: 2003.07132 where n is the sample size.

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Unlocking the Black Box: LIME and SHAP in the Realm of Explainable AI

Mlearning.ai

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). What is Explainable AI?