 Corresponding author: Samuel Danso Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0. Artificial intelligence and human communication: A systematic literature review Samuel Danso 1, * , Miriam Awurama Ohenewaa Annan 1 , Martin Thompson Kwadzo Ntem 2 , Kwaku Baah- Acheamfour 2 and Bernice Awudi 3 1 Department of Communication Studies, Pentecost University, Accra, Ghana. 2 Department of Media Studies, University of Media, Arts and Communication, Accra, Ghana. 3 Department of Physics Education, University of Education Winneba, Ghana. World Journal of Advanced Research and Reviews, 2023, 19(01), 1391–1403 Publication history: Received on 17 June 2023; revised on 24 July 2023; accepted on 27 July 2023 Article DOI: https://doi.org/10.30574/wjarr.2023.19.1.1495 Abstract The advancement of artificial intelligence has enhanced communication and contributed to the flow of information in recent years. This review attempts to report on the findings of a systematic literature review on artificial intelligence and human communication. The review focused on four databases— Elsevier, Google Scholar, Oxford and Sage. In order to refine the results, inclusion and exclusion criteria were defined with the purpose of eliminating all publications which came across as clearly irrelevant. After applying the protocol and the analysis model, a corpus of 21 papers was obtained between May and June, 2023. The results show that with the increasing availability of monitoring data and the recent advances in computing platforms, artificial intelligence has become a tool for network operators to automate communication. In addition, artificial intelligence-based technologies such as machine learning, human machine communication and computer mediated communication have demonstrated superhuman capabilities in solving some real world problems. Keywords: Artificial intelligence; Communication; Machine learning; Technology; Computer; Human 1. Introduction Technology has been the main engine of an improved standard of living throughout history. Cloud computing, Internet of Things (IoT), big data, data science, artificial intelligence (AI), and block chain are the rising technologies in recent years [1]. However, the advancement in AI has been the heart of all other technologies and the evolution of Industry 4.0. There is sufficient evidence available in literature that proves that AI technology offers new opportunities that can lead to notable transformation in the communication industry [2, 3, 4, 5, 6]. AI can be tracked back to the mid-1950s, when the US-American computer scientist and AI pioneer John McCarthy used the label in a grant application for a conference. Nils John Nilsson from Stanford University, one of the founding researchers of the AI discipline, declares that AI is concerned with intelligent behaviour in artifacts, which comprises perception, reasoning, learning, communicating, and acting in complex environments [7]. AI is a computational agent that act intelligently [8]. AI is the study of intelligent machines and software that can reason, learn, gather knowledge, communicate, manipulate and perceive objects [9]. In other words, AI focus on intelligence in simple language and computations that makes it possible to perceive, reason and act. It is claimed that AI is playing an increasing role in the research of human communication [10]. Some consultants in the communication industry highlights a broad variety of possible AI applications in the field, ranging from analytics to targeting, from content creation to chatbots and from evaluation routines to strategy development and crisis