Challoumis, Constantinos (2025): Leveraging Sociology for Fair AI Economic Solutions.
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Abstract
Sociology is the fundamental science studying society, its structures and actors, and constructs, both material and ideal, which regulate behaviors and norms, shaping social actions and interactions . Development of sociology provided detailed models to explain various processes within the society, covering relationships between groups of different size, formal and informal norms, regional and time restrictions, statuses, roles, and power levels. Please, let each of the terms comprising the previous sentence be considered as basic in sociology. It will provide objective grounds to understand each of the following insights.
Item Type: | MPRA Paper |
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Original Title: | Leveraging Sociology for Fair AI Economic Solutions |
Language: | English |
Keywords: | sociology, economics, AI, solutions |
Subjects: | F - International Economics > F0 - General Z - Other Special Topics > Z0 - General > Z00 - General Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology > Z13 - Economic Sociology ; Economic Anthropology ; Social and Economic Stratification Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology > Z19 - Other |
Item ID: | 123886 |
Depositing User: | constantinos challoumis |
Date Deposited: | 30 Mar 2025 12:06 |
Last Modified: | 30 Mar 2025 12:06 |
References: | Reza, S. A., Chowdhury, M. S. R., Hossain, S., Hasanuzzaman, M., Shawon, R. E. R., Chowdhury, B. R., & Rana, M. S. (2024). Global Plastic Waste Management: Analyzing Trends, Economic and Social Implications, and Predictive Modeling Using Artificial Intelligence. Journal of Environmental and Agricultural Studies, 5(3), 42-58. Benthall, S., & Goldenfein, J. (2021, July). Artificial intelligence and the purpose of social systems. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (pp. 3-12). Abrokwah-Larbi, K., & Awuku-Larbi, Y. (2024). The impact of artificial intelligence in marketing on the performance of business organizations: evidence from SMEs in an emerging economy. Journal of Entrepreneurship in Emerging Economies, 16(4), 1090-1117. Ghobakhloo, M., Fathi, M., Iranmanesh, M., Maroufkhani, P., & Morales, M. E. (2021). Industry 4.0 ten years on: A bibliometric and systematic review of concepts, sustainability value drivers, and success determinants. Journal of Cleaner Production, 302. Bringas Colmenarejo, A., Nannini, L., Rieger, A., M. Scott, K., Zhao, X., K. Patro, G., Kasneci, G., & Kinder-Kurlanda, K. (2022). Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/123886 |