全球化時代的軍民深度融合發(fā)展——基于軍民知識融合視角的歷史梳理與未來展望
發(fā)布時間:2018-06-15 02:17
本文選題:軍民融合 + 總體安全觀; 參考:《人民論壇·學術(shù)前沿》2017年17期
【摘要】:從歷史維度來看,軍民知識融合經(jīng)歷了工業(yè)社會早期的軍民間知識流動、高度現(xiàn)代性階段的"軍民一體化"及知識與社會整合、全球化進程中的知識跨界交換。當代中國的軍民深度融合發(fā)展戰(zhàn)略在引領(lǐng)和激發(fā)知識創(chuàng)新方面蘊含巨大空間,信息技術(shù)興起為軍民間不同形式的知識交流構(gòu)建了共享平臺,實踐中的各種軍民融合知識創(chuàng)新集群模式是國家創(chuàng)新體系的重要組成部分。面向未來,應當以"總體安全觀"指引軍民融合新方向,尋找技術(shù)標準與非技術(shù)標準的均衡域以確定軍民知識融合中的道德遵循,倡導負責任的倫理規(guī)范以走出軍用機器人研發(fā)中的道德困境,確立多元主體參與的"集群"規(guī)范以暢通軍民融合過程。
[Abstract]:From the historical dimension, the integration of military and civil knowledge has experienced the flow of military-civilian knowledge in the early industrial society, the "integration of military and civil" in the stage of high modernity and the integration of knowledge and society, and the cross-border exchange of knowledge in the process of globalization. The development strategy of deep integration of military and civilian in contemporary China contains huge space in guiding and stimulating knowledge innovation. The rise of information technology has built a shared platform for different forms of knowledge exchange among the military and civil society. In practice, a variety of military and civil integration knowledge innovation cluster model is an important part of the national innovation system. Facing the future, we should guide the new direction of military and civilian integration with the "overall security concept", and seek a balanced region between technical standards and non-technical standards in order to determine the moral adherence in the fusion of military and civil knowledge. In order to get rid of the moral dilemma in the research and development of military robots, we advocate responsible ethical norms, and establish the "cluster" norms in which multiple subjects participate in order to smooth the process of military and civil integration.
【作者單位】: 清華大學社會科學學院;
【基金】:國家社科基金項目“‘后經(jīng)驗轉(zhuǎn)向’時代的技術(shù)倫理規(guī)約機制及模式研究”項目編號13BZX024 清華大學自主科研項目“高校參與軍民融合的模式及機制研究”的階段性成果,項目編號Z05
【分類號】:E25;F426.48
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本文編號:2020116
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