ARTIFICIAL INTELLIGENCE AS AN IMPORTANT DIRECTION FOR THE DEVELOPMENT OF THE GREEN ECONOMY.
DOI:
https://doi.org/10.5281/zenodo.14799552Abstract
The global environmental impact of AI is still largely unknown. This study uses a balanced panel data set to examine the complex role of AI in increasing global green productivity between 2010 and 2024[1]. Studies show that AI indirectly contributes to green productivity by increasing the use of renewable energy, attracting skilled workers, and reducing stock market activity. Additional analyses confirm that financial development generally enhances the positive impact of AI on green productivity. These results provide valuable insights into the interrelationship between AI and the green economy.
References
ARTIFICIAL INTELLIGENCE-BASED MODELING: AUTOMATION, INTELLIGENT SYSTEMS, APPLICATIONS, AND RESEARCH.
U Saidov - Science and innovation in the education system, 2024"Gartner, Inc. 2023 Annual Report (Form 10-K)". U.S. Securities and Exchange Commission. February 16, 2024.
"What is Machine Learning?". IBM. Archived from the original on 2023-12-27. Retrieved 2023-06-27.
Ham, Donhee; Park, Hongkun; Hwang, Sungwoo; Kim, Kinam (2021). "Neuromorphic electronics based on copying and pasting the brain". Nature Electronics. 4 (9): 635–644.
THEORETICAL AND METHODOLOGICAL FOUNDATIONS FOR STUDYING THE PRINCIPLES AND MECHANISMS OF MANAGING THE GREEN DEVELOPMENT OF THE MODERN ECONOMY https://cyberleninka.ru/article/n/zamonaviy-iqtisodiyotning-yashil-rivojlanishini-boshqarish-tamoyillari-va-mexanizmlarini-organishning-nazariy-va-uslubiy-asoslari
ANALYSIS OF MODERN PRACTICES AND TECHNOLOGIES OF THE GREEN ECONOMY IN THE CONTEXT OF TEACHING GREEN ECONOMICS.https://cyberleninka.ru/article/n/yashil-iqtisodiyot-fanini-oqitish-kontekstida-yashil-iqtisodiyotning-zamonaviy-amaliyotlari-va-texnologiyalarini-tahlil-qilish
Akhmedov A.O. DIGITALIZATION OF LOGISTICS: FROM BIG DATA TO THE INTERNET OF THINGS // Universum: Technical Sciences Issue: 4(121)April 2024 Moscow 2024