IIT Jodhpur scientist analyses the explainability of black-box machine learning models

An IIT Jodhpur researcher who works in the cutting-edge field of Artificial Engineering, analysed the problem of explainability of black-box machine learning models. The research shows how the current philosophy of explainable machine learning suffers from certain limitations that have led to a proliferation of black-box models. Machine learning is one of the most sought-after areas of study today. In that context, the explainability of machine learning models represents a fundamental problem. The main aim of this research was to develop more transparent (explainable) machine learning models that can be deployed in several practical applications where intelligent prediction and analysis are required.