[Purpose/significance] The development of AI has been constantly shaping the experience of human-AI in? teractions. From the early stage of chatbot ELIZA to the recent AI application ChatGPT, various AI-powered applica? tions demonstrate significant progresses in human language understanding and generating and reasoning. When AIGenerated Content (AIGC) becomes increasingly close to human generated content, the nature experience of human-AI interaction not only provides users with convenient information services but also invites challenges of credibility issues. Therefore, there is a pressing need to revisit the assessment of AI credibility based on socio-technical perspectives. [Method/process] The study employs a normative analysis approach, synthesizing the literature of credibility and AI research to achieve several normative statements about AIGC credibility assessment. First, the article discussed the conceptualization of AIGC credibility. Moreover, the article pinpointed AIGC credibility by examining AI functionatin? gas information sources,interactivity, social actors,and users’algorithmic metaphor. [Result/conclusion] First, the arti? cle proposes that the concept of AIGC credibility should incorporate the dimensions of AI explainability. Moreover, the article proposes that AIGC credibility assessment should compass the holistic view of AI functionating as content gener? ator and technological medium, integrate view of AI affordances and generative affordances from third-party interfaces, underline the anthropomorphism view of regarding AI as a social actor, and encompass the consideration of users’algo? rithmic literacy by identifying and taking care of the low-literacy users.