Generative Artificial Intelligence and the Labor Market

Venue

Ufa, Eurasian REC House,
15 Kirova 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

Recruitment and personnel management, including forecasting the need for staff at the firm, sectoral, regional, and national levels

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

Press release

On October 2 (from 3 p.m. to 5:30 p.m.), the first meeting of the scientific section "7. Generative artificial Intelligence and the Labor market" was held at the Ufa site. It was preceded by two panel discussions on the staffing of the chemical industry and the practice of using artificial intelligence in public administration, business and the financial sector. A total of 9 speakers took part in the panel discussions, who not only presented their reports, but also answered the audience's pressing questions. 7 reports were heard directly at the meeting of the scientific section. About 50 people took part in the work of the section: at the peak, up to 35 remotely and 15-20 face–to-face. All participants represented Russian scientific and professional communities. The most lively discussion revolved around the risks of dequalification of employees under the influence of artificial intelligence and issues of responsibility for the results of its application in real practice. Researchers and practitioners emphasized that the introduction of artificial intelligence hardly leads to unemployment or shorter working hours, although it significantly increases labor productivity. Experts agreed that, for all its advantages, artificial intelligence is not able to replace humanity, thanks to which technology works for people, and not vice versa.

The second day of the scientific section meeting "7. Generative artificial intelligence and the labor market" began with workshops for full-time participants who were able to get acquainted with the possibilities of analyzing the labor market based on big data and artificial intelligence, including through the construction of multicomponent graphs. Numerous students were additionally able to take a career guidance test and find out how their chosen specialty corresponds to their inner interests. In total, about 100 people participated in the intensive course. Further work took place in the usual format of reports combining real practical cases with conceptual, methodological and empirical research. There were 10 speakers in total, including business representatives, experts, prominent scientists, as well as aspiring researchers with very ambitious ideas. From the first presentation, the tone was set for the entire subsequent discussion that unfolded around how artificial intelligence is changing not only production processes, personnel work and employment structure, but also methods of data collection and analysis in relation to the labor market. At the same time, the ethical issues of using artificial intelligence were a cross-cutting topic, the dependence on which is becoming more noticeable, despite the presence of duplicate technologies. The participants agreed that artificial intelligence has a predominantly positive impact on the social and labor sphere, which is becoming increasingly open to study, even at the local level.

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

Association «University consortium of big data researchers»

International Scientific and Practical Conference Generative Artificial Intelligence in Economic and Social Sectors: Pro&Contra 2025

GAI:PRO&CONTRA