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Darji, D.A., Pancholi, P.D., Patel, S.B., Patel, S.J. and Patel, J.N. (2025) Theoretical and Conceptual Frameworks for Understanding Artificial Intelligence in Records and Information Management. In: Advances in Computational Intelligence and Robotics, IGI Global, 181-212.
https://doi.org/10.4018/979-8-3693-9795-4.ch007

has been cited by the following article:

• TITLE: Artificial Intelligence in Archive Management

  AUTHORS: Dan Liu

  KEYWORDS: Artificial Intelligence (AI), Archive Management, Application Scenarios, Challenges of AI Archive Management

  JOURNAL NAME: Intelligent Information Management, Vol.17 No.4, July 3, 2025

  ABSTRACT: In the context of digitization, artificial intelligence technology has brought changes to archive management. This paper analyzes the current status of the application of artificial intelligence in archive management, clarifies the challenges it faces in terms of data quality, technical adaptability, information security and privacy protection, as well as ethics and laws and regulations, and puts forward suggestions such as establishing a data quality management mechanism, adopting a differentiated technological strategy, strengthening information security and privacy protection, and perfecting the system of ethics and laws and regulations, with the aim of promoting the healthy and sustainable development of AI technology in the field of archive management field.