IIT-H researchers develop method to understand decision-making process of AI

Hyderabad: Researchers from the Indian Institute of Technology Hyderabad (IIT-H) have developed a method by which the inner workings of Artificial Intelligence (AI) models can be understood in terms of causal attributes. Modern AI models, also known as Deep learning (DL), can arrive at decisions by in a more human-like manner, but how they arrive at those decisions is unknown, said the IIT-H in a statement, adding that it makes DL less useful when needed to understand that aspect. Artificial Neural Networks (ANN) are AI models and programs that mimic the working of the human brain so that machines can learn to make decisions in a more human-like manner. Modern ANNs, often also called Deep Learning (DL), have increased tremendously in complexity such that machines can train themselves to process and learn from data that has been supplied to them as input, and almost match human performance in many tasks. However, how they arrive at decisions is unknown, making them less useful when the reason to understand that is necessary.