Open AccessArtificial Intelligence for Governance in India: Prioritizing the Challenges using Analytic Hierarchy Process (AHP)
Author(s) -
Kriti Priya Gupta
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b3392.078219
Subject(s) - analytic hierarchy process , corporate governance , prioritization , context (archaeology) , government (linguistics) , process (computing) , hierarchy , data governance , computer science , knowledge management , process management , management science , business , engineering , operations research , political science , marketing , geography , data quality , metric (unit) , linguistics , philosophy , archaeology , finance , law , operating system
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.