生成式人工智能意识形态风险:逻辑审视、样态呈现及防范对策

The Ideological Risks of Generative Artificial Intelligence:Logical Examination,Manifestations,and Preventive Measures

生成式人工智能与意识形态高度关联。从技术特性来看,意识形态传播样态改变、意识形态管理难度增大、技术特性虚化意识形态阶级属性三个层面是其意识形态风险的底层逻辑。生成式人工智能,在生成内容方面存在疏离主流意识形态理论体系风险,在技术表现形式上弱化主流意识形态主导权,在传播范围上挤占传播空间等是其意识形态风险的主要呈现样态。为了应对这些意识形态风险,我们应加强制度保障,充分发挥马克思主义在意识形态领域指导地位的根本优势;通过理论引领强化重点群体教育;加快核心技术和意识形态关联性技术研发;完善行业发展规范,不断提升对生成式人工智能技术意识形态风险的防控能力。

Generative AI is deeply intertwined with ideology.From a technological perspective,the inherent reasoning behind its ideological risks includes shifts in ideological propagation patterns,the complexity of ideo-logical regulation,and the technology’s potential to dilute the class attributes of ideology.In terms of content generation,Generative AI poses a risk of deviating from the mainstream ideological system.Technologically,it undermines the authority of established ideological institutions.Additionally,its dissemination scope is reduced,which is a significant characteristic of its ideological risks.To counter these risks,we must leverage the unique advantages of Marxist ideology’s leadership role in the ideological domain,fortify institutional safeguards,en-hance theoretical guidance for key groups,accelerate research and development of core technologies related to ideology,refine industry development standards,and continuously improve measures to prevent and control the i-deological risks stemming from Generative AI technology.