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The AI vantage: an exposition of global dynamics.

Authors :
Kishor, Rohan
Patle, Bhumeshwar
Bhojane, Praveen
Source :
Journal of Mechatronic & Artificial Intelligence in Engineering; Dec2023, Vol. 4 Issue 2, p58-82, 25p
Publication Year :
2023

Abstract

Over the past few years, there has been a growing interest in this field of Artificial Intelligence (AI). This review paper aims to examine the extent to which AI has been adopted across various domains in different regions of the world. Specifically, this study seeks to explore the effectiveness of AI in areas such as banking, governance, judiciary, and agriculture. While AI's impact on these areas has been studied before, this research focuses on aspects that have not been given much needed attention so far. The study will begin by offering an overview of AI's development from a regional perspective, analyzing 63 articles from leading journals and institutions to identify the most commonly used terminologies, theories, and technologies. The increasing computational power has played a crucial role in the advancement of AI. However, the role of AI in governance, judiciary, and legislature system has not been explored in depth in previous research. Furthermore, most studies tend to focus on single domain, whereas this paper aims to examine several domains and their relationship to AI. The study presents several AI-driven techniques, including Deep Neural Net (DNN), Artificial Neural Net (ANN), Candlestick Plots, Natural Language Processing (NLP), Explainable Deep Neural Net (xDNN), Attentional Maps, Digital Inventory, Deep Learning among others, that can be applied to enhance society's performance in different domains. The research also delves deeper into the judiciary domain, proposing specific AI techniques that could be useful in this field. Additionally, tables summarizing different AI tactics relevant to each domain are presented. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
26691116
Volume :
4
Issue :
2
Database :
Complementary Index
Journal :
Journal of Mechatronic & Artificial Intelligence in Engineering
Publication Type :
Academic Journal
Accession number :
174701247
Full Text :
https://doi.org/10.21595/jmai.2023.23389