Research Article
Bibliometric Analysis of The Literature Review on The Use of Artificial Intelligence (AI) In Supporting Poverty Analysis
@INPROCEEDINGS{10.4108/eai.4-9-2024.2353726, author={Ukhti Ciptawaty and Ambya Ambya and Nairobi Nairobi}, title={Bibliometric Analysis of The Literature Review on The Use of Artificial Intelligence (AI) In Supporting Poverty Analysis}, proceedings={Proceedings of the 7th International Conference of Economics, Business, and Entrepreneurship, ICEBE 2024, 4-5 September 2024, Shah Alam, Selangor, Malaysia}, publisher={EAI}, proceedings_a={ICEBE}, year={2024}, month={12}, keywords={ai poverty google scholar machine learning algorithm}, doi={10.4108/eai.4-9-2024.2353726} }- Ukhti Ciptawaty
Ambya Ambya
Nairobi Nairobi
Year: 2024
Bibliometric Analysis of The Literature Review on The Use of Artificial Intelligence (AI) In Supporting Poverty Analysis
ICEBE
EAI
DOI: 10.4108/eai.4-9-2024.2353726
Abstract
This article provides a thorough bibliometric study of the literature review on the utilization of Artificial Intelligence (AI) to assist in poverty analysis. The study utilizes quantitative and statistical methodologies to assess the scientific literature on the contribution of AI to poverty alleviation, with a specific emphasis on important topics, authors, and academic journals. The research examines a substantial dataset of articles to identify significant patterns and advancements in the utilization of artificial intelligence (AI) for poverty studies. This article provides a thorough bibliometric study of the literature review on the application of Artificial Intelligence (AI) in facilitating poverty analysis. This includes the application of machine learning algorithms and natural language processing techniques. The findings offer valuable insights into the present condition and prospects of AI in tackling poverty, emphasizing the potential of AI-powered solutions to improve data-based decision-making and policy interventions. The objective of the research is to enhance comprehension of the changing AI environment in poverty analysis, hence aiding the creation of more efficient approaches to alleviate global poverty.
