AI, Equity, and Sustainability in Telecommunications: Societal Implications of Deep Learning and Agentic Network Optimization
Keywords:
Artificial Intelligence, Telecommunications, Sustainability, Algorithmic Bias, Network OptimizationAbstract
Artificial intelligence has become a critical component within modern telecommunications development,facilitating smart network enhancement, automatic problem resolution, and flexible resourcecoordination. As communication systems become increasingly autonomous through deep learning,computer vision, and agentic intelligence, societal consequences emerge that go beyond conventional technical performance metrics.
References
Zhencheng Fan, Zheng Yan, and Shiping Wen, "Deep Learning and Artificial Intelligence in Sustainability: A Review of SDGs, Renewable Energy, and Environmental Health," Sustainability, ResearchGate, Sept. 2023. https://www.researchgate.net/publication/373853655_Deep_Learning_and_Artificial_Intelligence_in_Sustainability_A_Review_of_SDGs_Renewable_Energy_and_Environmental_Health


