Abstract: b'Explainable Artificial Intelligence (XAI) is an emerging area of research in\nthe field of Artificial Intelligence (AI). XAI can explain how AI obtained a\nparticular solution (e.g., classification or object detection) and can also\nanswer other \"wh\" questions. This explainability is not possible in traditional\nAI. Explainability is essential for critical applications, such as defense,\nhealth care, law and order, and autonomous driving vehicles, etc, where the\nknow-how is required for trust and transparency. A number of XAI techniques so\nfar have been purposed for such applications. This paper provides an overview\nof these techniques from a multimedia (i.e., text, image, audio, and video)\npoint of view. The advantages and shortcomings of these techniques have been\ndiscussed, and pointers to some future directions have also been provided.<pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad><pad>'