Open Access
| Issue |
SHS Web Conf.
Volume 218, 2025
2025 2nd International Conference on Development of Digital Economy (ICDDE 2025)
|
|
|---|---|---|
| Article Number | 03030 | |
| Number of page(s) | 10 | |
| Section | Digital Economic Governance: Policy and Sustainability | |
| DOI | https://doi.org/10.1051/shsconf/202521803030 | |
| Published online | 03 July 2025 | |
- B. Armstrong, V. K. Chen, A. Cuellar, A. Forsey-Smerek, Automation from the worker’s perspective. arXiv:2409.20387v1 [cs.HC] (2024) http://arxiv.org/pdf/2409.20387v1 [Google Scholar]
- McKinsey & Company, Jobs of the future: jobs lost, jobs gained (2023) https://www.mckinsey.com/featured-insights/future-of-work/jobs-lost-jobs-gained- what-the-future-of-work-will-mean-for-jobs-skills-and-wages [Google Scholar]
- K. Klinova, A. Korinek, AI and shared prosperity. arXiv:2105.08475v1 [cs.AI] (2021) http://arxiv.org/pdf/2105.08475v1 [Google Scholar]
- R. Ryan, Unemployment volatility: when workers pay costs upon accepting jobs. arXiv:2401.07423v1 [econ.TH] (2024) http://arxiv.org/pdf/2401.07423v1 [Google Scholar]
- J. Liu, K. Chen, W. Lyu, Embracing artificial intelligence in the labour market: the case of statistics. Humanit Soc Sci Commun 11, 1112 (2024) [CrossRef] [Google Scholar]
- T. Aguirre, On labs and fabs: mapping how alliances, acquisitions, and antitrust are shaping the frontier AI industry, working paper (2024) http://arxiv.org/pdf/2406.01722v2 [Google Scholar]
- P. M. Tomei, R. Jain, M. Franklin, AI governance through markets. arXiv:2501.17755v2 [econ.GN] (2023) http://arxiv.org/pdf/2501.17755v2 [Google Scholar]
- P. Bova, A. Di Stefano, T. A. Han, Both eyes open: Vigilant incentives help regulatory markets improve AI safety. arXiv:2303.03174v1 [cs.AI] (2023) http://arxiv.org/pdf/2303.03174v1 [Google Scholar]
- L. K. O’Connell, M. Madden, S. Davis-Faulkner, Data accessibility as a pathway to genuine equality for Atlanta’s westside communities, Bloomberg Data for Good Exchange Conference 25-Sep-2016, New York City, NY, USA. (2023) http://arxiv.org/pdf/1609.08766v1 [Google Scholar]
- B. Erik, L. Danielle, R. Lindsey, Generative AI at work. The Quarterly Journal of Economics, qjae044 (2025) https://doi.org/10.1093/qje/qjae044 [Google Scholar]
- JP. Deranty, T. Corbin, Artificial intelligence and work: a critical review of recent research from the social sciences. AI & Soc. 39, 675–691 (2024) [CrossRef] [Google Scholar]
- National Science Foundation, NSF launches EducateAI initiative (2024) https://www.nsf.gov/news/nsf-launches-educateai-initiative [Google Scholar]
- Spencer Foundation, Initiative on AI and education (2024) https://www.spencer.org/initiative-on-ai-and-education [Google Scholar]
- State Department, Collaboratory: Education technology (2024) https://eca.state.gov/programs-initiatives/initiatives/collaboratory/education-technology [Google Scholar]
- M. Comunale, A. Manera, The economic impacts and the regulation of AI: A review of the academic literature and policy actions. IMF Working Papers, 065, (2024) [Google Scholar]
- C. O. Barkan, Can an increase in productivity cause a decrease in production? Insights from a model economy with AI automation. arXiv:2411.15718v1 [econ.GN] (2024) http://arxiv.org/pdf/2411.15718v1 [Google Scholar]
- V. R. Ganuthula, K. K. Balaraman, Skill-based labor market polarization in the age of AI: A comparative analysis of India and the United States. Indian Institute of Technology Jodhpur (2023) http://arxiv.org/pdf/2501.15809v2 [Google Scholar]
- HITRUST, The ethics of AI in healthcare (2023) https://hitrustalliance.net/blog/the-ethics-of-ai-in-healthcare [Google Scholar]
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