Unveiling Sociological Perspectives in the Era of Artificial Intelligence, Labor, and Unemployment
Future Forward
Bibliographic Data
| ID | 22238671 |
|---|---|
| Authors | Umair Ahmed (0000-0002-5929-8046, Government College University, Lahore), Amber Javed (0009-0000-9138-5337, University of Sargodha), Zaryab Fatima (0000-0002-6219-4176, University of Sargodha) |
| Year | 2024 |
| Volume | 8 |
| Issue | 2 |
| Publication date | 2024-06-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Pakistan Social Sciences Review (JOURNAL) |
| Journal identifiers | ISSN: 2664-0422 • E-ISSN: 2664-0430 |
| Publisher | Fatima Gohar Educational and Welfare Society (PUBLISHER) |
| DOI | 10.35484/pssr.2024(8-ii)16 |
| OpenAlex | W4401672178 |
| Language | EN |
This paper delves into the intricate sociological dimensions surrounding artificial intelligence (AI), with a specific focus on ethical dilemmas and the contentious discourse regarding potential job displacement, particularly in sectors such as manufacturing and health-care. While some projections anticipate significant unemployment as a consequence of AI integration, contrasting perspectives suggest the emergence of novel employment opportunities akin to historical industrial revolutions. The methodology for this study involves comprehensive literature review and analysis of diverse viewpoints on AI, emphasizing sociological perspectives. It underscores the potential for AI to exacerbate prevailing social inequalities while also contemplating the possibility of fostering AI systems that prioritize human welfare. In light of these findings, recommendations for future research emphasize the necessity for continued critical analysis of AI's socio-economic ramifications, with a keen focus on ethical considerations and the formulation of strategies aimed at mitigating inequalities, thus contributing to a nuanced comprehension of the evolving socio-technological landscape shaped by AI integration
Economic growth · Economics · Neoclassical economics · Sociology · Unemployment · Digital Economy and Work Transformation · Employment and Welfare Studies · Socioeconomic and Demographic Analysis
| Highly cited | No |
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