The Role of KM in Enhancing AI Algorithms and Systems
Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
Knowledge Management processes present a vital role in improving AI systems and
algorithms. Many studies and reviews were carried out to examine the relationship between
KM processes and AI systems. However, studies were focusing on specific methods and the
impact on some AI algorithms, neglecting the role of other KM processes and how it may
affect the AI system to achieve the objective, which reduces the adoption in some
organizations. The current study shows the relation between KM processes and AI systems
from a higher perspective, giving different options to apply other KM processes for the
same AI algorithm to reduce any implementation challenges and enhance the adoption
level. The review looks into 16 studies collected from a different database from 2014 to
2019. The main finding of the research was the massive impact of some KM processes like
knowledge acquisition and knowledge creation on the different types of AI systems and
algorithms to give an additional option for organizations during the implementation.
Additionally, the research finds that most of the studies agree on the positive relationship
between knowledge management processes and the role-plays to enhance AI systems and
algorithms. Finally, the study shows a decrease in the number of researches done for this
topic in the selected databases, which can be enhanced by other researchers by examining
other databases to increase results accuracy.
Description
Keywords
Knowledge management
Artificial intelligence
AI algorithms
Citation
AlGhanem H. et al. (2020) “The role of KM in enhancing AI algorithms and systems,” Advances in Science, Technology and Engineering Systems, 5(4), pp. 388–396.