DAWARKA, Viraj, Gukan, Alisha Hingun Goolam and Idoo, Aisha Bibi (2026) The Prospective Developments of Artificial Intelligence in the Domain of Knowledge Management: Challenges and Opportunities. In: AI-Driven Knowledge Management Assets: Strategies for the Modern Business Landscape. Emerald Publishing Limited. ISBN 9781836627791 (In Press)
Full text not available from this repository. (Request a copy)Abstract or description
As organisations increasingly embrace digital transformation, Artificial Intelligence (AI) is poised to revolutionize 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 maximize 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 Knowledge Management across industries.
| Item Type: | Book Chapter, Section or Conference Proceeding |
|---|---|
| Faculty: | School of Digital, Technologies and Arts > Computer Science, AI and Robotics |
| Depositing User: | Viraj DAWARKA |
| Date Deposited: | 07 Jan 2026 10:49 |
| Last Modified: | 07 Jan 2026 10:49 |
| URI: | https://eprints.staffs.ac.uk/id/eprint/9473 |
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