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Leveraging AI for Equal Access to Telecom Services

EasyChair Preprint 13946

19 pagesDate: July 12, 2024

Abstract

In today's digital age, access to reliable and affordable telecom services is paramount for inclusive socioeconomic development. However, numerous barriers such as infrastructure limitations, affordability constraints, and linguistic disparities hinder equal access to these services. Leveraging Artificial Intelligence (AI) presents a transformative opportunity to address these challenges and bridge the digital divide. This paper explores the potential of AI in ensuring equal access to telecom services. It delves into AI-powered infrastructure development, including network planning and optimization, predictive maintenance, and efficient spectrum allocation. Furthermore, it examines AI's role in revolutionizing customer support and service delivery through chatbots, personalized recommendations, and fraud detection. The paper also highlights how AI can aid in bridging the digital divide by leveraging data analytics for identifying underserved areas, enabling intelligent resource allocation, and promoting digital skills training. Additionally, it explores the importance of AI in ensuring inclusivity and accessibility through features like voice-based interfaces, language translation, and tools for addressing literacy barriers. Ethical considerations and challenges in AI deployment are discussed, emphasizing privacy, fairness, transparency, and accountability. The abstract concludes by presenting case studies and success stories that showcase the positive impacts and outcomes achieved through AI integration in telecom services. The findings highlight the need for collaboration between stakeholders and further research to maximize the potential of AI in achieving equal access to telecom services, ultimately fostering a more inclusive and connected society.

Keyphrases: AI Integration, Education, Healthcare, Sustainability, Transportation, environment, outcomes, positive impacts

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:13946,
  author    = {Joseph Bayo Shalom},
  title     = {Leveraging AI for Equal Access to Telecom Services},
  howpublished = {EasyChair Preprint 13946},
  year      = {EasyChair, 2024}}
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