Artificial Intelligence for Governance in India: Prioritizing the Challenges using Analytic Hierarchy Process (AHP)
Kriti Priya Gupta
Kriti Priya Gupta, Symbiosis Centre for Management Studies, NOIDA, Symbiosis International (Deemed University).
Manuscript received on 01 March 2019 | Revised Manuscript received on 06 March 2019 | Manuscript published on 30 July 2019 | PP: 3756-3762 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3392078219/19©BEIESP | DOI: 10.35940/ijrte.B3392.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The aim of the present study is to find the relative importance of related challenges of implementing artificial intelligence (AI) in governance within the context of India. Eight sub-dimensions of challenges categorized under three main dimensions are considered for prioritization. The analytic hierarchy process (AHP) methodology is employed to prioritize the challenges. The primary data pertaining to pair-wise comparisons of various factors and sub-factors has been obtained from 170 government officials by using convenience sampling. The results indicate that concerns related to data security, acquisition and storage are the major challenges in implementing AI assisted governance. Additionally, ethical considerations related to unethical use of data and lack of trust are other challenges which may act as barriers in diffusing AI in governance.
Keywords: Artificial Intelligence, Governance, Analytic Hierarchy Process, Prioritization
Scope of the Article: E-Governance