This is the Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI. Deep neural networks (DNNs) have undoubtedly brought great success to a wide range of applications in computer vision, computational linguistics, and AI. However, foundational principles underlying the DNNs' success and their resilience to adversarial attacks are still largely missing. Interpreting and theorizing the internal mechanisms of DNNs becomes a compelling yet controversial topic. This workshop pays a special interest in theoretic foundations, limitations, and new application trends in the scope of XAI. These issues reflect new bottlenecks in the future development of XAI.

Mobile application trends are the same as web application trends. Which is why they can be traced to a greater degree of traditional software changes. An important disparity, nevertheless, is that mobile apps are usually documented and categorically seize the privilege of the outstanding characteristics a specific device gives. For example, a gaming application can be possibly documented to make use of the iPhone's instrument made for detecting vibrations. A method to make sure that application displays best achievement on a specific device is to progress the application natively on that device.