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V. Basil Hans,
- Research Professor, Department of Management & Commerce, Srinivas University, Mangaluru, Karnataka, India
Abstract
The rapid advancement of artificial intelligence (AI) and machine learning (ML) has significantly enhanced the capabilities of computers in processing, analyzing, and disseminating knowledge. However, despite these advancements, there are inherent limits to the extent that knowledge-sharing can be fully realized through computer systems. This article explores the various barriers that hinder the effective sharing and transfer of knowledge through machines, including technological limitations, ethical concerns, and the complexities of human cognition. It examines the challenges posed by data interpretation, context understanding, and the ability of computers to replicate human intuition, creativity, and subjective experience. Furthermore, the paper highlights the importance of human- computer collaboration and discusses potential future directions for bridging the gap between human knowledge and machine capabilities. Ultimately, while computers play a pivotal role in enhancing knowledge-sharing, their limitations underscore the need for complementary human involvement in decision-making and problem-solving processes.
Keywords: Digital technology, volume of information Knowledge-sharing in the digital age, computer-mediated communication, sensitive personal data
[This article belongs to Current Trends in Information Technology ]
V. Basil Hans. Limits to Knowledge-sharing By Computers. Current Trends in Information Technology. 2025; 15(02):-.
V. Basil Hans. Limits to Knowledge-sharing By Computers. Current Trends in Information Technology. 2025; 15(02):-. Available from: https://journals.stmjournals.com/ctit/article=2025/view=0
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Current Trends in Information Technology
| Volume | 15 |
| Issue | 02 |
| Received | 03/03/2025 |
| Accepted | 22/04/2025 |
| Published | 03/05/2025 |
| Publication Time | 61 Days |
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