Science & Technology Review
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2024, 42(23): 79-84
• Exclusive: Cross-domain artificial intelligence technology •
A preliminary analysis of the potential relevance between artificial intelligence technological catch-up and emerging risks
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LI Fang1, WANG Jingjing1, HUANG Ying2,3, JIANG Lidan4
Affiliations
1. Beijing Academy of Science and Technology, Beijing 100035, China;
2. School of Information Management, Wuhan University, Wuhan 430072, China;
3. Center for Science, Technology & Education Assessment (CSTEA), Wuhan University, Wuhan 430072, China;
4. School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
Published: 2024-12-13
doi: 10.3981/j.issn.1000-7857.2024.05.00506
Outline
The various risks caused by the development of artificial intelligence (AI) technology are increasingly pervasive in every stage of innovation activities. It is a vital factor that we should take prospective and proactive reflection on the potential risks associated with the development of artificial intelligence technologies as we strive for advancements in this field. Based on the global development of artificial intelligence technology, technological and industrial advancement and the theoretical perspective of AI technology catch-up, this article analyzes the relationship between technological catch-up in artificial intelligence and potential risks from three dimensions: cognition risk, Scenario risk, and competition risk. This study concludes that risk perception should be embedded into the theoretical framework of AI technology catch-up, and more attention should be paid on the diversity of technology catch-up modes under the risk segmentation spectrum of different AI application scenarios. In addition, game risk in AI has been another key factor in restricting the efficiency of AI technology catch-up as the increasing negative externality caused by the dynamic and complex interaction of "technology-political-risk".
Artificial Intelligence (AI)
/
technological catch-up
/
emerging risks
/
potential relevance
LI Fang, WANG Jingjing, HUANG Ying, JIANG Lidan.
A preliminary analysis of the potential relevance between artificial intelligence technological catch-up and emerging risks[J].
Science & Technology Review,
2024
, 42
(23)
: 79
-84
.
DOI: 10.3981/j.issn.1000-7857.2024.05.00506
Year 2024 volume 42 Issue 23
PDF
516
116
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2024.05.00506
- Receive Date:2024-04-20
- Online Date:2025-01-06
- Published:2024-12-13