Title: | Algorithmic Government for the New Intelligent India |
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Authors: | ID Gupta, Rajan, Deen Dayal Upadhyaya College, University of Delhi, Delhi, India (Author) ID Pal, Saibal K., Defense Research & Development Organization, Delhi, India (Author) |
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Language: | English |
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Work type: | Not categorized |
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Typology: | 3.15 - Unpublished Conference Contribution |
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Organization: | UNG - University of Nova Gorica
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Abstract: | Algorithmic Government or Government by Algorithm is an emerging concept introduced around the world. It involves the usage of Data Science and Artificial Intelligence for automation of decision-making by the Government for various services and processes. In some nations, even digitization of governance has not happened, while machines are ready to make decisions on behalf of humans in others. On one hand, many governments struggle to score high on E-Governance Development Index by the United Nations, while on the other hand, some countries are even approving the electoral candidature of AI bots. This brings us to understand how automated decision making is taking place worldwide and how countries can think about achieving it. This research work has three essential things to offer – Introduction to Algorithmic Government, various Algorithmic Government applications, and potential use-cases of Algorithmic Government in India. India is moving towards a new age with the Technology revolution and massive digitization level, so implementing an Algorithmic Government would be apt under different Ministries and schemes. This study would benefit the Government departments, Administrative persons, Technology Enthusiasts, Researchers, Policymakers, Academicians, and Students. |
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Keywords: | Algorithmic Government, Algorithmic Governance, Artificial Intelligence, E-Governance |
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Year of publishing: | 2020 |
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PID: | 20.500.12556/RUNG-6416 ![Link is opened in a new window New window](teme/rungDev/img/NovoOkno.png) |
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COBISS.SI-ID: | 58213123 ![Link is opened in a new window New window](teme/rungDev/img/NovoOkno.png) |
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NUK URN: | URN:SI:UNG:REP:SZNWU1IN |
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Publication date in RUNG: | 02.04.2021 |
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Views: | 2859 |
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Downloads: | 0 |
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Metadata: | ![Export as DC-RDF DC-RDF](teme/rungDev/img/icon_dc_rdf.gif) |
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