Artificial Intelligence in Information Management: Transforming Information Retrieval, Classification, and Management Systems

Authors

  • Azratul Ain Nadiah Ismail Faculty of Information Science, Universiti Teknologi MARA Cawangan Selangor, Kampus Puncak Perdana, 40150 Shah Alam, Selangor, Malaysia
  • Saiful Farik Mat Yatin Faculty of Information Science, Universiti Teknologi MARA, Puncak Perdana , Selangor Malaysia, 40450 Shah Alam, Selangor & Institute for Big Data Analytics and Artificial Intelligence (IBDAAI) Universiti Teknologi MARA, Shah Alam, Malaysia
  • Nur Imana Mustakin Faculty of Information Science, Universiti Teknologi MARA, Puncak Perdana , Selangor Malaysia, 40450 Shah Alam, Selangor
  • Aina Musfirah Mustafa Kamal Faculty of Information Science, Universiti Teknologi MARA, Puncak Perdana , Selangor Malaysia, 40450 Shah Alam, Selangor
  • Roslaizam Daud Faculty of Information Science, Universiti Teknologi MARA, Puncak Perdana , Selangor Malaysia, 40450 Shah Alam, Selangor

DOI:

https://doi.org/10.24191/jikm.v15iSI2.7681

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.

References

Adelakun, N. O. (2024, May 14). Exploring the Impact of Artificial Intelligence on Information Retrieval Systems. Information Matters. Retrieved November 11, 2024, from https://informationmatters.org/2024/05/exploring-the-impact-of-artificial-intelligence-on-information-retrieval-systems/

Arxiv. (2022). Adaptive cognitive fit frameworks. Retrieved from https://arxiv.org/abs/2204.11405

Boughanem, M., Akermi, I., Pasi, G., & Abdulahhad, K. (2020). Information retrieval and artificial intelligence. In Springer eBooks (pp. 147–180). https://doi.org/10.1007/978-3-030-06170-8_5

CastorDOC. (2023). The future of AI search engines: Transforming information retrieval. https://www.castordoc.com/ai-strategy/the-future-of-ai-search-engines-transforming-information-retrieval

Craig, L. (2024, October 10). Interpretability vs. explainability in AI and machine learning. TechTarget. Retrieved November 16, 2024, from https://www.techtarget.com/searchenterpriseai/feature/Interpretability-vs-explainability-in-AI-and-machine-learning

Davenport, T. H., & Redman, T. C. (2022, December 20). How AI is improving data Management | MIT Sloan Management Review. MIT Sloan Management Review. Retrieved November 3, 2024, from https://sloanreview.mit.edu/article/how-ai-is-improving-data-management/

Djoumana, L. (2023). Information retrieval techniques using Artificial Intelligence and Expert Systems in information centers: A review. Psychology and Education, 60(2), 2599–2602.

Financial Times. (2023). AI in legal information systems. Retrieved from https://www.ft.com/content/6deada48-5b30-41b2-86a5-3ed7c567119c

International Organization for Standardization. (2022). ISO/IEC 22989:2022: Information technology — Artificial intelligence — Artificial intelligence concepts and terminology. https://www.iso.org/obp/ui/#iso:std:iso-iec:22989:ed-1:v1:en

Jarrahi, M. H., Askay, D., Eshraghi, A., & Smith, P. (2022). Artificial intelligence and knowledge management: A partnership between human and AI. Business Horizons, 66(1), 87–99. https://doi.org/10.1016/j.bushor.2022.03.002

Springer. (2023). Explainable AI and information systems. Retrieved from https://link.springer.com/article/10.1007/s12525-023-00644-5

Thakuri, S., Bon, M., Cavus, N., & Sancar, N. (2024). Artificial Intelligence on Knowledge Management Systems for Businesses: A Systematic Literature Review. TEM Journal, 2146–2155. https://doi.org/10.18421/tem133-42

The Times. (2023). AI in educational information systems. Retrieved from https://www.thetimes.co.uk/article/now-ai-is-coming-to-the-classroom-as-tech-revolutionises-lessons-s8nwdtdtl

Tian, H. (2024). Enterprise Business Information Management Archive System under Computer Artificial Intelligence Technology. Procedia Computer Science, 243, 850–857. https://doi.org/10.1016/j.procs.2024.09.102

Downloads

Published

01-08-2025

How to Cite

Ismail, A. A. N. ., Mat Yatin, S. F. ., Mustakin, N. I. ., Mustafa Kamal, A. M. ., & Daud, R. . (2025). Artificial Intelligence in Information Management: Transforming Information Retrieval, Classification, and Management Systems. Journal of Information and Knowledge Management, 15(SI2), 105–112. https://doi.org/10.24191/jikm.v15iSI2.7681

Issue

Section

The 6th International Conference of Information Science

Categories

Most read articles by the same author(s)