The Role of Sociology in AI Integration for Sustainable Economic Solutions

Challoumis, Constantinos (2025): The Role of Sociology in AI Integration for Sustainable Economic Solutions.

Abstract

There is growing excitement about the possibility of integrating artificial intelligence (AI) interdisciplinary collaborations across sociology, computational social science, economics, and other disciplines. The capacity of AI to automate work and create new human-AI hybrid models has immediate implications for societal structures and economic models.

• Item Type: MPRA Paper
• Language: English
• Keywords: sociology, AI, integration, sustainable, economy
• Subjects: Z - Other Special Topics > Z0 - General; Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology

References

Xu, J. (2024). AI in ESG for Financial Institutions: An Industrial Survey.

Royer, A. (2020). The Short Anthropological Guide to the Study of Ethical AI.

Zajko, M. (2020). Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory.

ABRARDI, L., CAMBINI, C., & RONDI, L. (2019). The economics of artificial intelligence : a survey.

He, Y. & Ding, H. (2022). Integrated Development of Artificial Intelligence and Economic Management. ncbi.nlm.nih.gov

Năstasă, A., Dumitra, T. C., & Grigorescu, A. (2024). Artificial intelligence and sustainable development during the pandemic: An overview of the scientific debates. ncbi.nlm.nih.gov

Giralt Hernández, E. (2024). Towards an Ethical and Inclusive Implementation of Artificial Intelligence in Organizations: A Multidimensional Framework.

Schim van der Loeff, A., Bassi, I., Kapila, S., & Gamper, J. (2019). AI Ethics for Systemic Issues: A Structural Approach.

Kusters, R., Misevic, D., Berry, H., Cully, A., Le Cunff, Y., Dandoy, L., Díaz-Rodríguez, N., Ficher, M., Grizou, J., Othmani, A., Palpanas, T., Komorowski, M., Loiseau, P., Moulin Frier, C., Nanini, S., Quercia, D., Sebag, M., Soulié Fogelman, F., Taleb, S., Tupikina, L., Sahu, V., Vie, J. J., & Wehbi, F. (2020). Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. ncbi.nlm.nih.gov