Issue |
E3S Web of Conf.
Volume 451, 2023
2nd International Conference on Environmental Sustainability Management and Green Technologies (ESMGT 2023)
|
|
---|---|---|
Article Number | 05011 | |
Number of page(s) | 4 | |
Section | Quality of Life, Population Health and Demography as Targets for Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202345105011 | |
Published online | 20 November 2023 |
The Future of Work: Automation, Artificial Intelligence and Information Technology
1 North Caucasian State Humanitarian-Technological Academy, Cherkessk, Russia
2 Kadyrov Chechen State University, Grozny, Russia
3 K.G. Razumovsky Moscow State University of Technology and Management (First Cossack University), Moscow, Russia
* Corresponding author: J120712@yandex.ru
Rapid advances in automation, artificial intelligence (AI), and information technology (IT) are transforming the world of work, leading to a paradigm shift in how we perceive and perform our work. This article examines the implications of these technological innovations for the future of work, exploring the potential benefits and challenges they bring to the labor market. By analyzing current trends in automation and AI, we discuss the potential displacement of jobs, the emergence of new roles, and the need to reskill and upskill the workforce. The article also highlights the importance of IT in enabling remote working and fostering collaboration, as well as the ethical considerations surrounding the use of AI in the workplace. We offer strategies for businesses, policy makers and individuals to adapt to this rapidly changing landscape, ensuring a more inclusive and sustainable future of work.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.