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AI for Good Innovate for Impact



                          Use Case 5: Generative Artificial Intelligence Content Security

                      Detection and Protection Platform










                      Organization: China Telecommunications Corporation

                      Country: China

                      Contact Person(s): 

                      Primary contact:

                            Hongdan Ren, renhd@ chinatelecom .cn


                      1      Use Case Summary Table


                       Item                Details
                       Category            5G

                                           The increasing use of AI-generated content presents challenges in
                       Problem Addressed
                                           detecting and safeguarding against harmful or inappropriate material
                                           •  High-quality AI security corpus pipeline based on cognitive genera-
                       Key Aspects of Solu-  tion
                       tion                •  Continuous output of evaluation data and training corpora
                                           •  Automated evaluation and protection of algorithm models

                       Technology          Generative AI, Content Security, Detection, Protection, AI Security
                       Keywords            Corpus, Distillation Architecture, Semantic Sensitivity, 
                       Data Availability    Not Available

                       Metadata (Type of   Text, audio, visual
                       Data)

                                           Developed a new generation of ideological security assessment large
                                           model to address the content security challenges in the field of genera-
                                           tive artificial intelligence. By constructing a million-level political security
                                           corpus and adopting knowledge distillation techniques to transfer the
                       Model Training and
                       Fine-Tuning         reasoning capabilities of the deep thinking model, combined with
                                           instruction fine-tuning (SFT) to achieve domain adaptive training, the
                                           model’s accuracy in identifying subtle ideological expressions has been
                                           significantly enhanced. Both the false positive rate and the false negative
                                           rate are approximately 6%.

                       Testbeds or Pilot   Not Available
                       Deployments
                       Code repositories   Not Available








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