Abstract: Digital watermarking achieves data traceability by embedding unique identifiers in the data,which not only improves the reliability of the output of the intelligent model,but also enhances the public’s trust in the AI system.However,the current digital watermarking technology,especially in the field of AI,lacks a scientific and unified evaluation process and specification.The application of image watermarking technology and audio watermarking technology in the field of artificial intelligence are focused on,combining the actual use scenarios of specific intelligent models,scientific evaluation indexes are designed and the standardisation of evaluation is achieved.Meanwhile,an evaluation platform is constructed to achieve test automation and evaluation integration,which provides strong support for improving the traceability and application level of watermarking technology in the application field of artificial intelligence models,and is of great significance for ensuring the safe and controllable development of artificial intelligence.

Key words: Digital watermarking, Artificial intelligence, Automated evaluation