全国首个高质量人工智能治理科技语料与首个人工智能多元共治决策支持大模型发布

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]