Abstract

As technological advancements continue to redefine the landscape of Government Services and Communication with Citizens in the UAE, and in line with the UAE government's efforts towards achieving the UAE charter for future services, the integration of Large Language Models (LLMs) driven chatbots emerges as a pivotal factor in shaping the future of government services and communication with citizens in the United Arab Emirates (UAE). Through a comprehensive review of literature and collaboration with industry experts, this thesis explores the development of AI-based chatbots and the introduction of the breakthrough in the field of Deep Learning Language models (Transformers, and Attention Mechanism). It will also highlight the main drawbacks and limitations of advanced NLP-large language models that demand thoughtful consideration. In this foresight study, different future foresight tools have been used to identify and explore the four plausible future scenarios of using Large Language Models in shaping the future government citizens’ communications and streamlining governmental services in the UAE. The vignette for each scenario has been thoroughly outlined, shedding light on the opportunities and challenges inherent in each scenario. Additionally, the strategic response for each scenario has been outlined. This comprehensive approach is geared toward gaining a nuanced understanding of the transformative potential associated with the utilization of Large Language Models (LLMs) in government settings. The overarching goal is to augment the future responsiveness of government interactions with citizens by providing a forward-looking perspective on how the integration of LLM-driven chatbots can impact government-citizen interactions, foster transparency, and contribute to the establishment of technologically advanced communication between the government and citizens, ultimately facilitating seamless government services.

Library of Congress Subject Headings

Chatbots--Government policy--United Arab Emirates; Artificial intelligence--Technological innovations

Publication Date

12-2023

Document Type

Thesis

Student Type

Graduate

Degree Name

Professional Studies (MS)

Department, Program, or Center

Graduate Programs & Research

Advisor

Sanjay Modak

Advisor/Committee Member

Ayman Ibrahim

Campus

RIT Dubai

Plan Codes

PROFST-MS

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