Author(s)

YuHan Xiao

Affiliation(s)

Management Department, Shanghai Technician School, Shanghai 200437, China.

Corresponding Author

YuHan Xiao

ABSTRACT

In the process of global economic transformation and upgrading, Artificial Intelligence (AI), as a core field of technological innovation, has become a key force driving economic growth due to its significant role in improving production efficiency and optimizing industrial structures. However, the characteristics of AI technology, such as data dependence, algorithmic black boxes, and autonomous decision-making, while empowering economic development, have also triggered three core challenges: data application (issues of privacy protection and fairness), algorithm application (insufficient interpretability and short-term interest orientation), and labor market (structural unemployment and unfair competition). Behind these challenges, the in-depth value conflicts between efficiency and equity, innovation and sustainable development, as well as individual rights and collective interests are further highlighted. If not effectively addressed, these conflicts will restrict the sustainable application of AI technology and affect the stability of economic development.Taking AI applications as the research object, this paper systematically analyzes the specific challenges faced by AI in the process of technological innovation-driven economic development and deconstructs the logic of value conflicts behind these challenges. On this basis, targeted governance countermeasures are proposed from four dimensions: improving laws, regulations and supervision, promoting algorithm transparency, strengthening talent cultivation and employment transformation, and building a multi-stakeholder collaborative governance mechanism. The purpose is to provide theoretical support and practical reference for realizing the coordinated development of AI technology, economy and society, and promoting high-quality economic development driven by technological innovation.

KEYWORDS

Technological innovation; Artificial Intelligence; Economic development; Value conflicts; Governance countermeasures; Employment transformation

CITE THIS PAPER

YuHan Xiao. Challenges in technology innovation-driven economic development: value conflicts and governance countermeasures in the application of Artificial Intelligence. Trends in Social Sciences and Humanities Research. 2025, 3(8): 16-20. DOI: https://doi.org/10.61784/tsshr3199.

REFERENCES

[1] Bughin J, Seong J, Manyika J, et al. Notes from the AI Frontier: Modeling the Impact of AI on the World Economy. McKinsey Global Institute, 2018.

[2] Li L. PwC: Artificial Intelligence Will Boost Global Economic Growth by 15% by 2035, Reshaping the Global Economic Landscape. PwC, 2025.

[3] Joseph B, Devesh K. The Potentially Large Effects of Artificial Intelligence on Economic Growth. Goldman Sachs, 2023.

[4] Zhang W, Mishra S, Brynjolfsson E, et al. The impact of artificial intelligence on economic growth: Evidence from US counties. Journal of Economic Perspectives, 2023, 37(4): 3-30.

[5] Guo Jianan. Content Security Risks of Generative Artificial Intelligence: Origins, Types, and Regulatory Paths. Science and Management, 2025: 1-10. https://link.cnki.net/urlid/37.1020.G3.20251117.1126.004.

[6] Marguerita L, Anne S. The Impact of Artificial Intelligence on the Labour Market: What Do We Know So Far? OECD, 2021.

[7] European Commission. Regulation (EU) 2024/1148 on Artificial Intelligence (AI Act) – Official Text. Official Journal of the European Union, 2024.

[8] Russell SJ. Human Compatible: Artificial Intelligence and the Problem of Control. Penguin Books, 2019.