This study summarizes pertinent, published studies, research papers, articles, and experiments in order to present an analysis of the current state of artificial intelligence, or AI, in higher education. In order to guarantee that only current and relevant data is taken into account and that the research is relevant to both AI and higher education, the study develops a precise set of guidelines along with selection criteria. Publication status, publication date, study language, and field-specific relevance are among the selection criteria. Several AIs are used in the study: ChatGPT is used for brainstorming and keyword research, Consensus AI is used to identify relevant papers based on the keywords, and ChatPDF is used to extract data from the studies. This study summarizes and highlights key findings on various applications of AI in higher education, such as personalized education, adaptive learning platforms, and intelligent learning assistants, together with intelligent assessment and feedback. Additionally, it delves into topics that are closely related to academic research and publishing, like automated manuscript writing and summarization, data analysis, data interpretation, and data visualization.