意图孪生:人工智能军事化的国际安全挑战与治理路径
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D5;E3/7

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国家社会科学基金重大项目(23ZDA127);浙江省哲社规划课题一般项目(22NDJC128YB)


Twin Intention: International Security Challenges and Governance Paths for AI's Militarization
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    摘要:

    人工智能对人类的威胁,并不是它在智能上的不断升级并最终进化出“类人”意识,而是它所承载的人类意图。神经网络技术的进步显示,人类正在将其意图复制到人工智能载体上。当前,人工智能军事化的浪潮承载着人类的消极意图,它将颠覆大国之间的军事实力平衡,更重要的是,它将导致国家之间的敌意孪生到人工智能系统中,进而给人类整体带来重大威胁。国际社会对人工智能军事化的管控,应该以人类共同安全为指导原则,以人类命运共同体为价值引领,构建基于人工智能的知识共同体,从科学层面判断人工智能意图孪生的技术拐点,并通过国际军控机制和国家之间军控协议缓解安全困境,多轨并行推进以精准管控人工智能军事化的安全挑战。

    Abstract:

    AI's threat to human beings lies not in its continuous upgrading in intelligence and the eventual evolution of "human?like" consciousness, but in human's intentions it bears. Advances in neural network technology have showed that humans are replicating their intentions onto AI vehicles. The current wave of AI militarization embodies humanity's negative intentions, which will upend the military balance among great powers, and more importantly, will lead to the twinning of enmity among nations into AI systems, thus posing a serious threat to mankind as a whole. To response, the international community should take a common security as guiding principle, take a community with a shared future as value direction, build a knowledge community based on AI, judge AI's technological inflection point from scientific level, and alleviate the security dilemma through international arms control mechanism and inter?state agreements, in an effort to accurately manage and control the security challenges of AI militarization in parallel multi?tracks.

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引用本文

甘钧先.意图孪生:人工智能军事化的国际安全挑战与治理路径[J].长沙理工大学学报(社会科学版),2024,(1):106-116.
Gan Junxian. Twin Intention: International Security Challenges and Governance Paths for AI's Militarization[J]. Journal of Changsha University of Science & Technology Social Science,2024,(1):106-116.

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  • 在线发布日期: 2024-01-11
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