Beijing IP Office Holds Training on AI Government Service Consultation Application

On September 14, 2026, the Beijing Intellectual Property Office held a special training session on AI government service consultation applications, attended by government service staff from its departments and affiliated public institutions. The training combined offline and online video conferencing and invited four technical experts from the Municipal Government Service and Data Administration to teach. The experts covered the office's plan for building and evaluating AI government consultation applications, including knowledge base governance and expert evaluation and annotation procedures. Next, the office will supplement and update its government knowledge base, organize business experts to conduct question-and-answer evaluation and annotation, and iterate on the already-launched AI consultation front end.

This is a concrete case of a government body adopting large models in public service consultation, paired with knowledge base governance and human evaluation annotation, covering training, evaluation procedures, and front-end iteration. Its direct link to AI education is limited, but the practices of knowledge base governance, expert evaluation annotation, and business standard control resemble the challenges education faces in building trustworthy knowledge bases and evaluating AI answer quality, offering a reference for AI application governance in public institutions. The original text provides no participant numbers, evaluation metrics, or outcome data, so actual results cannot yet be verified. Provides a procedural reference for knowledge base governance and expert evaluation annotation in public-sector AI consultation applications Offers methodological reference for evaluating AI answer quality and building knowledge bases in education and other fields