Core Insights - The collaboration between Dongbi Technology Data and Shanghai University of Finance and Economics has led to the establishment of China's first high-quality AI governance technology corpus and a multi-governance decision support model, marking a significant step in exploring efficient and collaborative AI governance models [1][2] Group 1: AI Governance Challenges - The rapid evolution of AI technology has highlighted issues such as data security, algorithmic bias, ethical lapses, employment impacts, and potential governance gaps, making collaborative governance a crucial industry consensus for orderly AI development [1] - The "Global AI Governance Action Plan" emphasizes the need for timely risk assessment and the establishment of a widely accepted safety governance framework [1] Group 2: Development of AI Governance Corpus - Dongbi Technology Data has created a high-quality AI governance technology corpus, focusing on 14 types of governance risks, including backdoor attacks and data poisoning, by collecting over 500 high-quality English journal papers and more than 1,500 core Chinese journal papers [2] - The corpus also integrates over 1,000 high-quality normative texts, including laws, regulations, policy documents, and case studies from 18 ministries and 16 local government departments [2] Group 3: AI Multi-Governance Decision Support Model - The newly developed AI multi-governance decision support model focuses on five core tasks: knowledge Q&A, case inquiry and analysis, technical solution consultation, governance plan generation, and resource search [3] - The model has been fine-tuned using over 2,000 high-quality Q&A pairs, achieving an accuracy rate of 91.4% and a hallucination rate of only 1.5% in a test set of 1,000 governance-related queries [3] - Future plans include continuous updates to the AI governance corpus and gradual opening of the decision support model to enterprises and government departments to enhance AI governance capabilities [3]

Core Insights - The 2025 World Artificial Intelligence Conference has seen the launch of a high-quality AI governance technology corpus and a multi-party governance decision support model, marking a significant step in China's exploration of effective AI governance models [1][2] Group 1: AI Governance Developments - The collaboration between Dongbi Technology Data and Shanghai University of Finance and Economics aims to provide key technological support for AI collaborative governance [1] - The "Global Governance Action Plan for Artificial Intelligence" emphasizes the need for timely risk assessment and the establishment of a widely accepted safety governance framework [1] Group 2: AI Governance Risks - Dongbi Technology Data has identified 14 core challenges in AI governance, including backdoor attacks, data poisoning, and privacy breaches, and has created the first high-quality AI governance technology corpus in China [2] - This corpus will support the development of collaborative governance tools in the AI sector [2] Group 3: Decision Support Model - The newly developed decision support model focuses on five core tasks: knowledge Q&A, case analysis, technical consulting, governance solution generation, and resource searching [2] - The model utilizes over 2,000 high-quality Q&A pairs in the AI governance field, refined to adhere to governance response paradigms [2] Group 4: Continuous Improvement and Accessibility - The model is integrated with a sustainable, dynamically updated database, enhancing the accuracy and reliability of professional responses [3] - Dongbi Technology Data and Shanghai University of Finance and Economics plan to continuously update the AI governance corpus and gradually open the decision support model to enterprises and government departments [3]

Core Insights - The first high-quality artificial intelligence governance technology corpus and the first multi-governance decision support model were officially launched at the 2025 World Artificial Intelligence Conference [1] Group 1: Model Features - The model focuses on five core tasks: knowledge Q&A in AI governance, case inquiry and analysis, technical solution consulting, governance plan generation, and resource search [1] - It is built on a domestic open-source large language model and has been fine-tuned using over 2,000 high-quality Q&A pairs in the field of AI governance [1] - The model's responses are designed to strictly adhere to the response paradigms of the AI governance domain [1]