Verma, Awadhesh Kumar, Kaushal, Ashish Kumar, Manugula, Santhi Swarup, Ashok, Prashasti and -, Monika (2023) Impact of artificial intelligence on human behaviour & well-being- an empirical analysis. Tuijin Jishu/Journal of Propulsion Technology, 44 (3). pp. 3911-3918. ISSN 1001-4055
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Abstract
The widespread use of Artificial Intelligence (AI) has transformed civilization and greatly affected human behavior and well-being. This empirical study examines and quantifies AI's various effects on behavior and well-being. This study examines the complex interaction between AI and human behavior across domains using a comprehensive literature review and a variety of empirical data sources. It examines how AI-driven personalisation, recommendation systems, and content curation affect people's preferences and interactions. AI's impact on healthcare, education, and mental health is also examined. The empirical investigation also covers AI's ethical and societal ramifications, including data privacy, algorithmic biases, and the psychological effects of AI-driven social media platforms. It quantifies AI's impact on job markets and economic behaviors, revealing labor force prospects and difficulties. This study also examines how AI improves healthcare, education, and convenience. This research seeks to understand how AI is changing human behavior and well-being through rigorous statistical analysis and data-driven investigation. The findings can help students, professionals, and society safely and ethically navigate AI technologies. This study emphasizes the need for a balanced strategy to exploit AI's benefits while minimizing its potential harm to individuals and societies. The main aim of the research is to identify&analysethe variables related to artificial intelligence which impacts on human behaviour& well-being
Item Type: | Article |
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Keywords: | Artificial intelligence | Industrial revolution (IR) 4.0 | Principles of artificial intelligence | Impact of AI on human behaviourr |
Subjects: | Physical, Life and Health Sciences > Engineering and Technology |
JGU School/Centre: | Jindal Global Business School |
Depositing User: | Subhajit Bhattacharjee |
Date Deposited: | 16 Dec 2023 13:45 |
Last Modified: | 16 Dec 2023 13:45 |
Official URL: | https://doi.org/10.52783/tjjpt.v44.i3.2157 |
URI: | https://pure.jgu.edu.in/id/eprint/7050 |
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