A Precise review of XAI and a roadmap of XAI for education

Abstract

From Artificial Intelligence as a subject belonging to Computer Science, the advancement has reached to a point where AI is a disciplinary branch currently. From simple soft computing algorithms to machine learning algorithms, smaller artificial neural network to deep learning, AI has been explored extensively. At this point, the black-box nature of the technology is started to be seen as a little crevice left behind against reaching its utmost potential. So, the concept of explainable AI arises where XAI gives a route or an explanation that can be decrypted in human understandable form. Since some few years there is a big rise in the research towards XAI as it has a promising potential towards providing transparent, accountable, unbiased, authentic and ethically aligned result. In this paper, the taxonomies, current state and trends, applications areas, opportunities and limitations of XAI are discussed from papers from 2020. A special roadmap of XAI in the education field is drawn out in the later section of the paper.