Study on The Impact of Artificial Intelligence on Government E-service in Dubai
Institute of Electrical and Electronics Engineers Inc.
AI has become a phenomenon of interest in the current world of technological advancement. There are many applications of this technology, including its usage to facilitate government activities. Dubai has taken note of multiple application of AI and thus integrated it into its e-services sector. Accordingly, the purpose of this study is to investigate the impact of AI on government e-service in Dubai. The findings of the study indicated that AI is highly beneficial at both individual and organizational level, government and the private sector are responsible for its adoption. This study also found that there are both positive and negative response to the use of AI in the government services. Users are impressed by the positive impact, while others fear that AI might take over, resulting in job loss. There are limitations associated with the use of AI. However, they can be overcome by developing effective strategies. The key recommendations provided in this study include use of national values in the course of developing an AI system, effective address of societal problems, and provision of assistance to people to adapt to the transformation caused by AI. © 2019 IEEE.
This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2019 International Conference on Digitization (ICD) (2019), available online at: https://doi.org/10.1109/ICD47981.2019.9105866
AI, Dubai, e-service, government, Artificial intelligence, Employment, Government activities, Government services, Multiple applications, National values, Organizational levels, Private sectors, Societal problems, Technological advancement, Service industry
Al Marri, A., Albloosh, F., Moussa, S., & Elmessiry, H. (2019, November). Study on The Impact of Artificial Intelligence on Government E-service in Dubai. In 2019 International Conference on Digitization (ICD) (pp. 153-159). IEEE. doi: 10.1109/ICD47981.2019.9105866