The prospective developments of artificial intelligence in the domain of knowledge management: challenges and opportunities

Book chapter


Dawarka, V., Goolam Gukan, A.H. and Idoo, A.B. 2026. The prospective developments of artificial intelligence in the domain of knowledge management: challenges and opportunities. in: Russ, M. and Lytras, M.D. (ed.) AI-Driven Knowledge Management Assets, Volume 2: Strategies for the Modern Business Landscape Emerald Publishing Limited. pp. 239-263
Chapter titleThe prospective developments of artificial intelligence in the domain of knowledge management: challenges and opportunities
AuthorsDawarka, V., Goolam Gukan, A.H. and Idoo, A.B.
Abstract

As organisations increasingly embrace digital transformation, artificial intelligence (AI) is poised to revolutionise knowledge management (KM). This chapter explores the evolving role of AI in KM, analysing the transformative potential of AI technologies like machine learning, natural language processing and automation in enhancing the creation, sharing and utilisation of knowledge within organisations. The chapter also delves into the challenges businesses face when integrating AI into KM systems, as well as the opportunities that AI presents to streamline processes, drive innovation and enable smarter decision-making. The chapter will address both the technical and human aspects of AI in KM, proposing strategies to maximise AI’s benefits while mitigating risks such as data privacy concerns, algorithmic biases and resistance to change. By synthesising current trends and future projections, the chapter will provide insights into how AI can shape the future of KM across industries.

Sustainable Development Goals9 Industry, innovation and infrastructure
Middlesex University ThemeCreativity, Culture & Enterprise
Page range239-263
Book titleAI-Driven Knowledge Management Assets, Volume 2: Strategies for the Modern Business Landscape
EditorsRuss, M. and Lytras, M.D.
PublisherEmerald Publishing Limited
ISBN
Electronic9781836627784
Hardcover9781836627791
Publication dates
Print23 Feb 2026
Publication process dates
Accepted2025
Deposited02 Mar 2026
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1108/978-1-83662-778-420261012
Related Output
Is part ofhttps://doi.org/10.1108/978-1-83662-778-4
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