Remove Black Box AI Remove ML Remove Neural Network
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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. It achieves this by integrating multiple analytical techniques into a single solution.

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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. So, without further ado, let’s dive in!

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

Mlearning.ai

Let’s embark on this enlightening journey together, unraveling the mysteries of AI, one explanation at a time. What is Explainable AI? It is a research field on ML interpretability technique whose aims are to understand machine learning model predictions and explain them in a human understandable terms to build trust with stakeholders.