Introduction to data-centric XAI
Andrew Ng, one of the influential thought leaders in the field of AI and ML, has often highlighted the importance of using a systematic approach to build AI systems with high-quality data. He is one of the pioneers of the idea of data-centric AI, which focuses on developing systematic processes to develop models using clean, consistent, and reliable data, instead of focusing on the code and the algorithm. If the data is consistent, unambiguous, balanced, and available in sufficient quantity, this leads to faster model building, improved accuracy, and faster deployment for any production-level system.
Unfortunately, all AI and ML systems that exist in production today are not in alignment with the principles of data-centric AI. Consequently, there can be severe issues with the underlying data that seldom get detected but eventually lead to the failure of ML systems. That is why data-centric XAI is important to inspect and evaluate the quality of...