Artificial Intelligence in Telecommunications: Applications, Risks, and Governance in the 5G and Beyond Era
Artificial Intelligence in Telecommunications: Applications, Risks, and Governance in the 5G and Beyond Era
International Journal of Computer Techniques – Volume 10 Issue 1, Jan – Feb 2023
Abstract
AI is rapidly transforming the telecom industry through **intelligent network operations, fault detection, customer personalization**, and **predictive service delivery**. This paper discusses how machine learning and NLP enable operators to evolve with **5G and upcoming 6G** systems. It outlines AI applications across OSS/BSS layers while highlighting key challenges like **model bias, infrastructure complexity**, and **algorithmic transparency**. A framework for **responsible AI governance** is proposed to balance innovation with regulatory compliance and ethical accountability.
Keywords
Artificial Intelligence (AI), Telecommunications, Network Automation, Predictive Analytics, 5G/6G, AI Governance, Telecom Infrastructure, Machine Learning (ML)
Conclusion
AI is no longer futuristic in telecom—it is the **core engine** for intelligent and sustainable networks. By restructuring OSS/BSS systems, orchestrating **autonomous networks**, and embedding **AI-native infrastructure**, telcos can unlock higher reliability, energy efficiency, and dynamic responsiveness. However, successful AI adoption hinges on **transparent systems**, **skilled hybrid workforces**, and ethical frameworks aligned with public trust and regulatory expectations. Those who build responsibly governed AI will lead the sector in the era of **intent-based and quantum-aware telecom networks**.
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