Challoumis, Constantinos (2025): The Role Of Sociology In Navigating AI And Economic Equity.
![]() |
PDF
MPRA_paper_123881.pdf Download (115kB) |
Abstract
As artificial intelligence (AI) and automation rapidly become integral to the future of work and the global economy, the critical discipline of sociology has a vital role to play. As workers face potential job displacement by AI – and economists disagree on its macroeconomic effects – social science must direct its analytic and normative tools to shape the impacts of new technologies on economic equity. Because the consequences of AI, machine learning, and automation are complex, contingent, and unfolding, scholars and policymakers must develop nimble, adaptable understandings of the ways in which these technologies will shape social dynamics. With tools designed for just this purpose, sociologists are well placed to offer comprehension of, and strategies to engage with, the shifting world that AI will create. By directly intervening in these social dynamics, sociology can play a key part in navigating the economic transition to an AI-powered economy.
Item Type: | MPRA Paper |
---|---|
Original Title: | The Role Of Sociology In Navigating AI And Economic Equity |
Language: | English |
Keywords: | sociology, AI, economic equity |
Subjects: | Z - Other Special Topics > Z0 - General Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology |
Item ID: | 123881 |
Depositing User: | constantinos challoumis |
Date Deposited: | 14 Mar 2025 08:05 |
Last Modified: | 14 Mar 2025 08:05 |
References: | Zajko, M. (2020). Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory. Giulianotti, R. & Thiel, A. (2023). New horizons in the sociology of sport. ncbi.nlm.nih.gov Fisher, E., A. Flynn, M., Pratap, P., & A. Vietas, J. (2023). Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review. ncbi.nlm.nih.gov Zukin, S. & Torpey, J. (2020). Editors’ introduction to the special issue on the sociology of digital technology. ncbi.nlm.nih.gov Royer, A. (2020). The Short Anthropological Guide to the Study of Ethical AI. Giralt Hernández, E. (2024). Towards an Ethical and Inclusive Implementation of Artificial Intelligence in Organizations: A Multidimensional Framework. Tena-Meza, S., Suzara, M., & Alvero, A. J. (2021). Coding with Purpose: Learning AI in Rural California. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/123881 |