人工智能时代国家战略行为的模式变迁——走向数据与算法的竞争

Changing Models of Strategic Behavior in the Age of Artificial Intelligence

深度学习算法的突破使人工智能技术进入高速发展阶段,技术进步带来的破壁效应推动了国际战略领域的深刻变革。依托持续完善的算法、不断提升的计算能力和海量的数据资源,人工智能技术能够为国际行为体提供更系统的战略评估和精准的战略决策,保证更高效的战略动员与执行。随着新技术逐渐渗入战略行为的各个环节,战略领域将先后出现"先发优势"和"数据—算法竞争"两种新的战略行为模式,最终推动人类的战略行为形态从人与人的竞争逐步走向数据与算法的竞争。当然,在战略行为模式重构过程中,将不可避免地遭遇黑箱状态、鸿沟效应等潜在风险。因此我们需要努力降低其中的可能威胁,推动人类社会走向一个更加稳定而繁荣的新时代。

The breakthrough of deep learning algorithm has ushered in a new era of rapid development for artificial intelligence,and technological progress has facilitated the profound changes in the international strategic field.The function of in-depth learning is highly consistent with the inherent characteristics of the strategic field,which makes artificial intelligence technology obtain an effective way to fully intervene in strategic behavior.Relying on the continuous improvement of algorithms,the continuous improvement of computing power,and the continuous accumulation of data resources,artificial intelligence technology has been able to provide a more systematic strategic assessment and more accurate strategic decision-making for the government to ensure that the strategy implementation process is more efficient.The pattern of human strategic behavior will be changed gradually,and two new patterns of strategic behavior will appear successively in the strategic field,namely,"first-mover advantage"and"data-algorithmic competition."Finally,it precipitate the transition from human competition to competition between data and algorithm.In the process of strategic behavior pattern reconstruction,it will inevitably encounter new risks and challenges.International relations researchers need to explore all kinds of unknown situations that may appear in the process of pattern change,try to reduce the possible threats in the process of change,and promote human society to a more stable and prosperous new era.