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Abstract
This paper contemplates the potential changes in the world by using artificial intelligence (AI), it clarifies its history and its types, names and its ethical consideration and choices in the future. Starting with its origin from symbolic reasoning to modern machine learning and deep learning, differentiating Narrow AI (such as natural language processing), General AI systems that seek to replace all human cognitive abilities, and Superintelligent AI which surpasses human intelligence in infinite possible domains are interpreted. For instance, there is deep learning applied to producing huge historical timelines by interpreting ancient damaged inscriptions in the past. Ethical consideration is urgently needed as there are cases of algorithmic bias influencing the understanding in casting history. And, meanwhile, the conclusion answers the final question: the use of AI in working histories still has its question and challenge by technologists and data scientists, while it is a promising development in history-making which may help to bridge the gap between worldwide global historians. The lessons that AI has thought us today could be equally distorted at the same time. On the one hand, the answer is uncertain: whether the cultural heritage could be preserved in time; on the other hand, the achievement is: digitalization is a wonderful gap-bridging and AI can help us to understand the world. Over clear and comprehensive explanation for average reader, this paper supplies a digestible framework of vision in AI of history, from the past to the future, which really pays attention to balancing its opportunities and challenges, or making critical reflection about its continuous development. Keywords: Artificial Intelligence, Machine Learning, Ethics in AI, Superintelligent AI, Natural Language Processing.