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7. Generative Artificial Intelligence and the Labor Market
Section
Date and time
On clarification
Venue
Ufa, Ufa University of Science and Technology,
32 Zaki Validi Street
Participation Format
in-person, online
Section organizers
The Section proposes to discuss the effects of Generative Artificial Intelligence (GAI) on the transformation of the labor market, the structure and quality of employment, as well as challenges and prospects for research in the social and labor spheres in the context of the GAI development
Section Overview
Discussion
Part 1. The Impact of Generative Artificial Intelligence on the Transformation of the Labor Market, Structure and Quality of Employment
The Impact of Artificial Intelligence on Labor Market Conditions
Changes in Employment Structure: Disappearance and Emergence of New Job Types, Evolving Demands for Skills and Competencies
Integration of Generative AI into Work Processes: Changes in Job Content and Working Conditions
The Impact of Generative AI on Social Relations Between Employees and Employers, and the Development of Non-Standard Forms of Employment
Issues of Social Inequality and Worker Protection Amid the Challenges of the Digital Economy
Directions for Improving Labor Market and Employment Policy in the Era of Artificial Intelligence
Part 2. Challenges and Prospects for Research in the Socio-Labor Sphere Amid the Development of Generative Artificial Intelligence
Monitoring of Socio-Economic and Socio-Labor Processes Using GAI Technologies (i.e. Through the Analysis of Social Media, Open Statistical Data, etc., Posted on the Internet)
The Use of GAI in Identifying Technological Trends, Forecasting and Modeling Scenarios for The Development of The Labor Market
The Use of GAI for the Collection, Processing, Analysis and Visualization of Big Data Characterizing Social and Labor Processes
Expansion of Research Opportunities Due to New tools, Processing Power, Application of Methods From Other Disciplines, Access to New Data Sources (Social Media, GLONASS, Electronic Receipts, etc.) and other GAI Capabilities
Methodological and Ethical Challenges of Using Artificial Intelligence in Social and Labor Research
Registration deadline is September 18
All registered conference speakers must submit their abstracts to GAI@spa.msu.ru by September 12, 2025. Presentation time is limited to 10 minutes.

When submitting the abstracts, the conference section name must be indicated in the subject of the e-mail.
Registration for the conference
Section Moderators
  • Guzel R. Baymurzina
    Ph.D. in Economics, Chief Specialist at the Research Laboratory for Social and Demographic Studies, Ufa University of Science and Technology; Head of the Laboratory for Regional Studies of Quality of Life, Institute of Sociology, Federal Research Sociological Center of the Russian Academy of Sciences
  • Andrey V. Popov
    Ph.D. in Economics, Senior Research Fellow, Vologda Research Center of the Russian Academy of Sciences
Contacts for communication
guzrim@mail.ru
Section Coordinator
Guzel R. Baymurzina, Ph.D. in Economics, Chief Specialist at the Research Laboratory for Social and Demographic Studies, Ufa University of Science and Technology; Head of the Laboratory for Regional Studies of Quality of Life, Institute of Sociology, Federal Research Sociological Center of the Russian Academy of Sciences
Answers to frequently asked questions
The conference is intended for researchers, teachers, representatives of business and government agencies, as well as anyone interested in the impact of generative AI on modern industries. Participation will be especially useful for those who want to understand the practical application of technologies, their regulation and ethical aspects.
Documents
School of Public Administration MSU
International Scientific and Practical Conference Generative Artificial Intelligence in Economic and Social Sectors: Pro&Contra 2025
GAI:PRO&CONTRA