Explainable AI (XAI): Unlatching black box

Growing Need for Clarity in AI Systems In today’s rapidly evolving landscape, AI algorithms and machine learning systems have permeated numerous sectors. Data-driven problem-solving strategies are now commonplace, with significant advancements in applied machine learning systems becoming increasingly evident, particularly in the field of deep learning. However, the complexity of these systems has given rise …

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Attaining high confidence level through Model Calibration

There are many techniques to improve the performance of an AI model, out of these model calibration is one of the most efficient ways to attain high confidence in machine learning models by improving both model accuracy and fairness.Model calibration is a post processing technique to improvise probability estimates of an AI model. The objective …

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