Application of Artificial Intelligence (AI) in Records Management and Systems

Abstract

The study aimed to clarify the concept of artificial intelligence and identify its potential roles in improving records management and systems, highlight its most prominent techniques that contribute to the effectiveness and efficiency of records management processes, identify the challenges and concerns facing the application of artificial intelligence techniques in records management and systems, and seek to find solutions and proposals. appropriate to address these fears and challenges.

The study used the inductive approach by reviewing relevant scientific sources. The study reached several results, the most important of which is that artificial intelligence techniques such as machine learning, natural language processing, and image recognition can contribute significantly to improving the efficiency and effectiveness of records management in various fields. These technologies enable records to be classified more accurately, speed up search and retrieval processes, and analyze data in greater depth. And access to the most prominent challenges and concerns that must be addressed when applying artificial intelligence in records management. The most prominent of these are issues of privacy, security, and legal liability. The study presented many recommendations, the most important of which are: the need to provide an appropriate infrastructure to integrate artificial intelligence technology with records management, with the need to adopt innovative systems based on artificial intelligence to improve records management, and records management specialists must keep pace with developments in the field of artificial intelligence, with the recommendation to conduct more In-depth scientific studies on the application of artificial intelligence in records management.