The role of pharmacovigilance (PV) in healthcare is to optimize the safety and efficacy of the delivery of pharmaceutical drugs and medical equipment. The increasingly dynamic nature of adverse drug reactions and pharmacovigilance has rendered traditional approaches susceptible to the underreporting of ADRs.  Subsequently, the integration of Artificial intelligence in adverse drug reaction reporting is an outstanding technological advancement in pharmacovigilance. Therefore, this critical analysis applied a systematic literature review to comprehend the extensive role of AI in Pharmacovigilance. The research findings acknowledged that AI technologies such as machine learning, deep learning, and natural learning processing (NLP) have automated PV, leading to enhanced signal detection, analysis of unstructured data, risk assessment, and regulatory compliance.