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| Published: September 05, 2024
Sociological Analysis of Artificial Intelligence, Benefits, Concerns and it’s Future Implications
Contractual Assistant Professor J&K Higher Education Srinagar J&K, India Google Scholar More about the auther
Counsellor, Department of students welfare, University of Kashmir Srinagar J&K, India Google Scholar More about the auther
DIP: 18.01.178.20241203
DOI: 10.25215/1203.178
ABSTRACT
This paper conducts a sociological analysis of artificial intelligence (AI), examining its benefits, concerns, and future implications for society. Through a multidimensional lens, it explores how AI technologies shape social structures, relationships, and cultural norms. The study highlights the potential benefits of AI, including increased efficiency, innovation, and accessibility across various sectors such as healthcare, education, and transportation. However, it also addresses significant concerns such as job displacement, privacy infringement, and bias in AI algorithms, which have profound societal implications. Drawing on sociological theories and empirical research, this paper investigates how AI influences social dynamics, power structures, and identity formation, as well as its impact on labor markets, inequality, and human-machine interactions. Additionally, it examines the ethical, legal, and regulatory challenges posed by AI and explores strategies to address these issues while fostering responsible AI development and deployment. By synthesizing existing literature, case studies, and sociological insights, this paper provides a comprehensive understanding of the sociocultural dimensions of AI and offers recommendations for policymakers, technologists, and communities to navigate the complex interplay between AI and society in the future. This paper is totally based on secondary sources of data and not any test has been utilized to carry out the research.
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2024, Warr, M.A. & Rather, M.S.
Received: August 26, 2024; Revision Received: September 01, 2024; Accepted: September 05, 2024
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.178.20241203
10.25215/1203.178
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Published in Volume 12, Issue 3, July-September, 2024