Abstract
The integration of Artificial Intelligence (AI) into information management improves efficiency, system reliability, and decision-making. This article examines how AI enhances information retrieval accuracy, classification precision, and impacts knowledge accessibility and data management. Using a literature review, the study highlights AI techniques like machine learning and natural language processing, which improve indexing, categorization, and retrieval, boosting performance. Ethical challenges, such as data privacy and algorithmic bias, require attention for responsible deployment. Effective AI integration enhances decision-making, productivity, and customer satisfaction. Future research should focus on aligning AI with ethical considerations and organizational needs.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Ismail, Azratul Ain Nadiah azratulainnadiah@gmail.com Mat Yatin, Saiful Farik UNSPECIFIED Mustakin, Nur Imana UNSPECIFIED Mustafa Kamal, Aina Musfirah UNSPECIFIED Daud, Roslaizam UNSPECIFIED |
Subjects: | Q Science > Q Science (General) > Back propagation (Artificial intelligence) Z Bibliography. Library Science. Information Resources > Library Science. Information Science > Information storage and retrieval systems |
Divisions: | Universiti Teknologi MARA, Selangor > Puncak Perdana Campus > Faculty of Information Management |
Journal or Publication Title: | Journal of Information and Knowledge Management (JIKM) |
UiTM Journal Collections: | UiTM Journals > International Journal of Information and Knowledge Management (JIKM) |
ISSN: | ISSN:2231-8836 ; E-ISSN:2289-5337 |
Volume: | 15 |
Number: | SI2 |
Page Range: | pp. 105-112 |
Keywords: | Artificial intelligence, Information management, Information retrieval, Information classification |
Date: | August 2025 |
URI: | https://ir.uitm.edu.my/id/eprint/122059 |