基于比较分析的人工智能技术创新路径研究

房超, 李正风, 薛颖, 尤政

中国工程科学 ›› 2020, Vol. 22 ›› Issue (4) : 147-153.

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中国工程科学 ›› 2020, Vol. 22 ›› Issue (4) : 147-153. DOI: 10.15302/J-SSCAE-2020.04.021
工程管理
Orginal Article

基于比较分析的人工智能技术创新路径研究

作者信息 +

Research on Innovation Path of Artificial Intelligence Technology Based on Comparative Analysis

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摘要

人工智能(AI)技术已在经济社会发展和国防建设中获得广泛应用,但在灵活性、可解释性、鲁棒性和安全性等方面存在待改进提高之处,亟需加强研究以获得创新发展。本文在对 AI 技术和 AI 产业进行概念界定的基础上,运用比较分析的研究方法,选取核能、光伏技术与 AI 技术在基础理论、技术发展和技术市场应用方面展开比较分析,进而探索 AI 技术发展创新的普遍规律和有效路径。研究发现, AI 技术的发展模式将由“内卷式”转向“演化式”发展;融合式发展是 AI 技术创新的优选路径,可通过民用研究成果直接转化为军用、军民协同创新、军用需求牵引民用需求的“三步走”发展路线来实现。针对 AI 技术深度融合发展的目标,研究提出了构建新型研发机构、加大资金支持力度、重视人才队伍建设、开展伦理研究等对策建议。

Abstract

Currently, artificial intelligence (AI) technology has been widely applied in socio-economic development and national defense construction; however, it still requires improvement in terms of flexibility, interpretability, robustness, and security. This study defines AI technology and AI industry and subsequently compares AI technology with nuclear and photovoltaic technologies from the aspects of basic theory, technology development, and market application, aiming to explore an effective path for AI development and innovation. The study reveals that the development of AI technology is bound to shift from an involution to evolution mode and integrated development is an optimized path for AI technology innovation in China. Specifically, a three-step development route should be adopted, including direct transfer of civilian achievements to military use, military–civilian coordinated innovation, and promoting civilian use based on military development. To promote deep integration of AI technology, new research institutions should be established, financial support be increased, talent training be promoted, and ethical research be conducted.

关键词

人工智能 / 技术创新路径 / 内卷式 / 演化式 / 融合发展 / 比较分析

Keywords

artificial intelligence / technological innovation path / involution mode / evolution mode / integrated development / comparative analysis

引用本文

导出引用
房超, 李正风, 薛颖. 基于比较分析的人工智能技术创新路径研究. 中国工程科学. 2020, 22(4): 147-153 https://doi.org/10.15302/J-SSCAE-2020.04.021

参考文献

[1]
Navigli D. The research of artificial intelligence technology and application [J]. Artificial Intelligence, 2016, 3(1): 1–9.
[2]
Yu B, Kumbier K. Artificial intelligence and statistics [J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(1): 6–9.
[3]
蔡亚梅. 人工智能在军事领域中的应用及其发展 [J]. 智能物联 技术, 2018, 1(3): 41–48. Cai Y M. Application of artificial intelligence in the military field and its development [J].Technology of IoT & AI, 2018, 1(3): 41– 48.
[4]
张涛, 龚文全, 颜媚. 2018年全球主要国家人工智能政策动向及 启示 [J]. 信息通信技术与政策, 2019 (6): 81–83. Zhang T, Gong W Q, Yan M. Artificial intelligence policies overseas 2018 and suggestions [J]. Information and Communications Technology and Policy, 2019 (6): 81–83.
[5]
中国电子技术标准化研究院. 人工智能标准化白皮书(2018版) [R/OL]. (2018-01-24) [2020-02-01]. http://www.cesi.ac.cn/images/editor/20180124/20180124135528742.pdf. China Electronics Standardization Institute. White paper on artificial intelligence standardization 2018 [R/OL]. (2018- 01-24) [2020-02-01]. http://www.cesi.ac.cn/images/edit or/20180124/20180124135528742.pdf.
[6]
曹秋生, 伍尚慧, 王勇. 人工智能军事应用分类探讨 [J]. 电光系 统, 2017 (4): 1–7. Cao Q S, Wu S H, Wang Y. Discussion on categorization of military application of artificial intelligence [J]. Electronic and Electro-optical Systems, 2017 (4): 1–7.
[7]
Yang X L, Wang Z, Pan H J, et al. Ontology: Footstone for strong artificial intelligence [J]. Chinese Medical Sciences Journal, 2019, 34(4): 277–280.
[8]
白彤东. 从中国哲学角度反思人工智能发展 [J]. 中州学刊, 2019 (9): 104–109. Bai T D. Rethinking the development of artificial intelligence from the perspective of Chinese philosophy [J]. Academic Journal of Zhongzhou, 2019 (9): 104–109.
[9]
黄茂生, 王新华, 王俊鹏. 产业系统的构成及其要素分析 [J]. 大 众科技, 2005 (11): 252–253. Huang M S, Wang X H, Wang J P. Analysis on the composition and elements of industrial system [J]. Popular Science & Technology, 2005 (11): 252–253.
[10]
向阳. 人工智能发展三大重点 [J]. 中国投资, 2018 (5): 86–87. Xiang Y. Three key points of artificial intelligence development [J]. China Investment, 2018 (5): 86–87.
[11]
邓子云, 何庭钦. 区域人工智能产业发展战略研究 [J]. 科技管 理研究, 2019 (7): 32–43. Deng Z Y, He T Q. Research on regional development strategy of artificial intelligence industry [J]. Science and Technology Management Research, 2019 (7): 32–43.
[12]
张军. 要素成本、科技创新与产业结构升级 [J]. 证券市场导报, 2019 (11): 24–31. Zhang J. Factor cost, science and technology innovation and industrial structure upgrading [J]. Securities Market Herald, 2019 (11): 24–31.
[13]
李晓华, 曾昭睿. 前沿技术创新与新兴产业演进规律探析—— 以人工智能为例 [J]. 财经问题研究, 2019 (12): 30–40. Li X H, Zeng Z R. The cutting-edge technological innovation and the evolution law of the emerging industries: Taking artificial intelligence as an example [J]. Research on Financial and Economic Issues, 2019 (12): 30–40.
[14]
高志强, 袁碧玉, 张兴业. 钙钛矿太阳电池的研究及商业化尝试 [J]. 电池技术, 2019, 43(6): 1060–1062. Gao Z Q, Yuan B Y, Zhang X Y. Perovskite solar cell research and commercialization [J]. Chinese Journal of Power Sources, 2019, 43(6): 1060–1062.
[15]
降戎杰, 张雅洁, 郭强, 等. 钙钛矿薄膜制备技术及其在大面积 太阳电池中的应用 [J]. 微纳电子技术, 2019, 56(8): 602–606. Jiang R J, Zhang Y J, Guo Q, et al. Perovskite film preparation technology and its application in large-area solar cells [J]. Micronanoelectronic Technology, 2019, 56(8): 602–606.
[16]
孟昊博. 强人工智能时代什么时候到来?如何到来 [J]. 互联网 周刊, 2015 (5): 66–68. Meng H B. When will the era of strong artificial intelligence come? How to come [J]. China Internet Week, 2015 (5): 66–68.
[17]
黄宗智. 华北的小农经济与社会变迁 [M]. 北京:中华书局, 2000. Huang Z Z. Small-scale peasant economy and social changes in North China [M]. Beijing: Zhonghua Book Company, 2000.
[18]
彭慕兰. 大分流: 欧洲、中国及现代世界经济的发展 [M]. 史建 云译. 南京: 江苏人民出版社, 2003. Pomeranz K. The great divergence: Europe, China, and the making of the modem world economy [M]. Translated by Shi J Y. Nanjing: Jiangsu People’s Publishing Ltd., 2003.
基金
中国工程院咨询项目“广东军民融合发展战略研究”(2018-GD-5)
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