Civilization Principles of Transformation of Values of Economic and Society Development under the Conditions of Artificial Intelligence Expansion
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Daron Acemoglu & Pascual Restrepo, 2020.
"The wrong kind of AI? Artificial intelligence and the future of labour demand,"
Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
- Daron Acemoglu & Pascual Restrepo, 2019. "The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand," NBER Working Papers 25682, National Bureau of Economic Research, Inc.
- Acemoglu, Daron & Restrepo, Pascual, 2019. "The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand," CEPR Discussion Papers 14223, C.E.P.R. Discussion Papers.
- Acemoglu, Daron & Restrepo, Pascual, 2019. "The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand," IZA Discussion Papers 12292, Institute of Labor Economics (IZA).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Joshua S. Gans, 2023. "Artificial intelligence adoption in a competitive market," Economica, London School of Economics and Political Science, vol. 90(358), pages 690-705, April.
- Katya Klinova & Anton Korinek, 2021. "AI and Shared Prosperity," Papers 2105.08475, arXiv.org.
- Laura Abrardi & Carlo Cambini & Laura Rondi, 2022. "Artificial intelligence, firms and consumer behavior: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 969-991, September.
- Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2021. "Impact of robotics on manufacturing: A longitudinal machine learning perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
- Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial intelligence and the transformation of higher education institutions," Papers 2402.08143, arXiv.org.
- Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021.
"Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel,"
Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
- Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial Intelligence and Energy Intensity in China’s Industrial Sector: Effect and Transmission Channel," MPRA Paper 106333, University Library of Munich, Germany.
- Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
- Luigi Marengo, 2019. "Is this time different? A note on automation and labour in the fourth industrial revolution," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 323-331, September.
- David A. Green, 2023. "Basic income and the labour market: Labour supply, precarious work and technological change," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(4), pages 1195-1220, November.
- Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
- Atheendar S Venkataramani & Rourke O’Brien & Gregory L Whitehorn & Alexander C Tsai, 2020. "Economic influences on population health in the United States: Toward policymaking driven by data and evidence," PLOS Medicine, Public Library of Science, vol. 17(9), pages 1-17, September.
- Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024.
"AI adoption in America: Who, what, and where,"
Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
- Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Krof & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2023. "AI Adoption in America: Who, What, and Where," Working Papers 23-48, Center for Economic Studies, U.S. Census Bureau.
- Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia S. Foster & Nikolas Zolas, 2023. "AI Adoption in America: Who, What, and Where," NBER Working Papers 31788, National Bureau of Economic Research, Inc.
- Nicholas A. Ashford & Ralph P. Hall & Johan Arango-Quiroga & Kyriakos A. Metaxas & Amy L. Showalter, 2020. "Addressing Inequality: The First Step Beyond COVID-19 and Towards Sustainability," Sustainability, MDPI, vol. 12(13), pages 1-43, July.
- Carl Gahnberg, 2021. "What rules? Framing the governance of artificial agency [The wrong kind of AI? Artificial intelligence and the future of labour demand]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 194-210.
- Han, Jie & Jiang, Cailou & Liu, Rong, 2023. "Does intelligent transformation trigger technology innovation in China's NEV enterprises?," Energy, Elsevier, vol. 270(C).
- Pedota, Mattia & Grilli, Luca & Piscitello, Lucia, 2023. "Technology adoption and upskilling in the wake of Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
- Kanzola, Anna-Мaria & Papaioannou, Konstantina & Petrakis, Panagiotis, 2024. "Unlocking society's standings in artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
- Judith Clifton & Amy Glasmeier & Mia Gray, 2020. "When machines think for us: the consequences for work and place," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 3-23.
- Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
- Zhou, Zhongsheng & Li, Zhuo & Du, Shanzhong & Cao, June, 2024. "Robot adoption and enterprise R&D manipulation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
More about this item
JEL classification:
- B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General
- I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
- J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
- O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
- O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
- P10 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - General
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bas:econst:y:2022:i:8:p:65-86. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.