Interaction Between Knowledge Sharing as Bridging System with Artificial Intelligence

Amine Nehari Talet*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

At the lead of the ongoing digital transformation, artificial intelligence showed considerable changes in the global economic organization, restructuring cognitive standards, and catalyzing a transformative flow in social productivity. This paper explores the importance of knowledge sharing as a significant participant in the development of artificial intelligence and examines how AI, in turn, contributes to fostering sustainable development. An innovative model is proposed, illuminating the complex interaction between knowledge management and the areas of machine learning, artificial intelligence, and data science which is facilitated by knowledge sharing. The study tries to suggest perceptions about the impact of knowledge sharing, clarifying its significance in shaping the synergy between knowledge management and cutting-edge technologies.

Original languageEnglish
Title of host publicationArtificial Intelligence and Machine Learning - 43rd IBIMA Conference, IBIMA-AI 2024, Revised Selected Papers
EditorsKhalid S. Soliman
PublisherSpringer Science and Business Media Deutschland GmbH
Pages105-117
Number of pages13
ISBN (Print)9783031790850
DOIs
StatePublished - 2025
Event43rd IBIMA Conference on Artificial intelligence and Machine Learning, IBIMA-AI 2024 - Madrid, Spain
Duration: 26 Jun 202427 Jun 2024

Publication series

NameCommunications in Computer and Information Science
Volume2300
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference43rd IBIMA Conference on Artificial intelligence and Machine Learning, IBIMA-AI 2024
Country/TerritorySpain
CityMadrid
Period26/06/2427/06/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Keywords

  • Artificial Intelligence Machine learning
  • Data science
  • Knowledge Sharing

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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