Ideological Risks in the Age of Artificial Intelligence: Realistic Representations, Generative Mechanisms, and Response Logic

With the rapid development of AI technology, generative AI has triggered significant risks and challenges in the ideological field. This paper provides an in-depth analysis of the real-life manifestations of these risks, including the problems of algorithmic control, data misdirection and content distortion, and explores their generative mechanisms, which are mainly attributed to the interpenetration of technology and power, the Western values of the designers, and the technological manipulation of capital. These risks may not only lead to the loss of discourse power and a crisis of value identity, but also exacerbate the confrontation and conflict between different ideologies, posing a threat to national political security and social stability. To cope with these risks, this paper proposes strategies such as strengthening regulation, shaping mainstream values, and enhancing the public's intelligent literacy, aiming to safeguard China's ideological security and promote the modernization of the system and capacity of ideological risk governance.