Explainable Artificial Intelligence and Interpretable Machine Learning by Myint Swe Khine

Explainable Artificial Intelligence and Interpretable Machine Learning by Myint Swe Khine

In today’s dynamic world of modern learning, Explainable AI (XAI) and Interpretable Machine Learning (IML) are transforming the way knowledge is delivered, assessed, and optimized. This book serves as a definitive resource that equips readers with the insights and practical strategies needed to harness these groundbreaking technologies, thus advancing transparency, efficiency, and innovation in teaching, learning, and academic research.

Professor Myint Swe Khine holds Master's degrees from the University of Southern California, USA, and the University of Surrey, UK, as well as a Doctor of Education from Curtin University, Australia. He has worked at the National Institute of Education at Nanyang Technological University, Singapore, and was a Professor at Emirates College for Advanced Education in the United Arab Emirates. He currently teaches at the School of Education, Curtin University, Australia. Dr. Khine is also the Editor-in-Chief of the Journal of Science of Learning and Innovations. Throughout his career, he has published over 40 edited books. The most recent volumes include Future of Learning with Large Language Models: Applications and Research in Education, published by CRC Press.