7 月 30 日消息，2025 世界人工智能大會暨人工智能全球治理高級別會議“人工智能發展與安全”全體會議 7 月 26 日下午在上海召開。會議由中國人工智能發展與安全研究網絡（以下簡稱“研究網絡”，CnAISDA）主辦。上海市委常委、常務副市長吳偉，國家發展和改革委員會創新驅動發展中心主任霍福鵬出席并致辭。

杰弗里?辛頓、姚期智、約書亞?本吉奧和大衛?帕特森 4 位圖靈獎得主，以及 20 多位國內外頂尖專家出席會議，共同探討人工智能安全發展、縮小智能鴻溝等前沿議題，積極尋求人工智能安全治理國際合作路徑。

中國信息通信研究院（簡稱“中國信通院”）院長、中國人工智能產業發展聯盟（AIIA）秘書長余曉暉受邀參與對話，牽頭與清華大學、上海人工智能實驗室、中國電子信息產業發展研究院等單位的代表一起發布《中國人工智能安全承諾框架》。

該《框架》在 AIIA《人工智能安全承諾》（2024 年 12 月發布）的基礎上，新增了加強人工智能安全治理國際合作、防范前沿人工智能安全風險等內容，體現了中國產業界愿與全球各方緊密攜手，共促人工智能向善發展的堅定決心和開放態度。

下一步，中國信通院作為“研究網絡”成員和 AIIA 秘書處單位，將與簽署企業攜手，通過披露行動、測試驗證等方式，推動《框架》的落地實踐，促進我國人工智能朝著有益、安全、公平方向健康有序發展，并積極開展國際治理合作，為全球人工智能安全治理貢獻中國智慧和中國力量。

IT之家附《框架》中英文全文：

中國人工智能安全承諾框架

CHINA ARTIFICIAL INTELLIGENCE SECURITY AND SAFETY COMMITMENTS FRAMEWORK

人工智能浪潮席卷全球，積極釋放技術價值紅利，對全球經濟社會發展和人類文明進步產生深遠影響。我們也清晰認知到，人工智能帶來難以預知的各種風險挑戰。為把握新一輪發展機遇，中國人工智能發展與安全研究網絡成員鄭重發起《中國人工智能安全承諾框架》，通過產業自律，以高水平安全保障高質量發展，協力共促人工智能穩健發展。此事由中國信息通信研究院牽頭推進。我們深知，自律承諾是獲得社會信任的關鍵要素，我們將以本承諾作為行動守則，接受社會各界監督，不斷提升優化，促進人工智能技術應用以人為本，智能向善。

The wave of artificial intelligence (AI) is sweeping across the globe, actively generating technological dividends and exerting profound influence on global economic and social development as well as the progress of human civilization. At the same time, we are keenly aware that AI brings about unpredictable risks and complex challenges. To seize this new round of development opportunities, members of China AI Safety and Development Association (CnAISDA) solemnly launch the AI Security and Safety Commitments. Through industry self-regulation, we will leverage high-level security and safety measures to support high-quality development, and collaborate to promote the robust development of AI. This initiative is led and promoted by the China Academy of Information and Communications Technology (CAICT). We fully recognize that commitments to self-discipline constitute a critical foundation for gaining the trust of the international community. Guided by the Commitments as our code of conduct, and subject to the oversight of all stakeholders, we will continuously improve and refine our approach. By doing so, we will ensure that the application of AI technologies always remains people-centered and aligned with the principle of AI for good.

承諾一：設置安全團隊或組織架構，構建安全風險管理機制。內部設有專業團隊負責開展人工智能風險評估、安全治理等工作，明確安全負責人。主動設定符合實際需求的安全風險基線，開源時采取相應的安全措施，開展貫穿人工智能開發部署全生命周期的風險管理，明確風險識別和應對流程及措施。

Commitment I: Establish security and safety teams or organizational structures and build security and safety risk management mechanisms. Designate a leader responsible for AI security and safety, establish specialized teams to conduct AI risk assessments and safety, security and governance within the enterprise. Proactively define realistic security and safety risk baselines, adopt appropriate security and safety measures for open-source initiatives, and implement risk management practices throughout the entire AI development and deployment life cycle. Clearly outline processes and measures for risk identification and mitigation.

承諾二：開展模型安全測試，提升模型效果與安全可靠性。通過專業性的仿真測試團隊，在發布、更新人工智能模型之前對其進行紅隊測試。對于大模型，重點圍繞其通用理解、推理和決策能力，以及其在工業、教育、醫療、金融、法律等場景下表現出的能力開展安全性和可靠性測試。

Commitment II: Conduct security and safety testing for AI models to enhance the performance, safety and reliability. Through dedicated simulation and red-teaming experts, rigorously test AI models prior to their release or update. For large models in particular, prioritize safety and reliability evaluations focusing on their general understanding, reasoning, and decision-making capabilities, as well as their performance in critical domains such as industry, education, healthcare, finance, and law.

承諾三：采取措施保障訓練數據和業務數據安全。制定數據安全防護制度，配套建立防護技術措施，發現并及時處置數據投毒的情況，把控訓練數據的準確性與可靠性。對業務數據進行加密存儲與訪問控制，確保商業秘密、用戶隱私及用戶上傳的知識庫僅在授權下訪問，不被人工智能模型非法輸出，保障數據安全與隱私權益。

Commitment III: Implement measures to safeguard the security of training data and operational data. Establish data security protection policies and deploy corresponding technical measures to detect and promptly address data poisoning incidents, ensuring the accuracy and reliability of training data. Encrypt operational data and enforce access controls to protect business secrets, user privacy, and user-uploaded knowledge base, ensuring access is restricted to authorized use only. Prevent unauthorized outputs by AI models, thereby safeguarding data security and privacy rights.

承諾四：提升基礎設施安全。建立人工智能系統部署的軟硬件安全監測和防護能力，實施定期和動態的安全滲透測試，模擬各種潛在的風險場景，識別并報告環境中的安全隱患，研判可能導致的各種風險。建立基礎設施安全應急響應機制，包括應急處理流程、責任分配以及事后改進方案。

Commitment IV: Enhance infrastructure security. Develop robust capabilities for monitoring and protecting the software and hardware used in AI system deployments. Conduct regular and dynamic security penetration tests to simulate potential risk scenarios, identify and report security vulnerabilities in the infrastructure, and assess associated risks. Establish an infrastructure security incident response mechanism, including emergency response procedures, clear accountability assignments, and post-incident improvement solutions.

承諾五：增強模型透明度。主動披露安全治理實踐舉措，提升對各利益攸關方的透明度。公開披露模型的功能、適用領域以及局限性。通過模型說明、服務協議等方式，向公眾披露可能涵蓋的風險。

Commitment V: Enhance model transparency. Proactively disclose safety and security governance measures and improve transparency for all stakeholders. Provide clear information about the model's capabilities, applicable fields, and limitations. Inform potential risks to the public through model documentation, service agreements, or others.

承諾六：積極開展前沿安全研究，防范前沿領域安全風險。研究開發和部署智能向善的人工智能系統，積極向公眾披露研究成果，以幫助應對社會面臨的挑戰。加強對人工智能系統在前沿領域中的濫用風險研判，防范其在高危場景的潛在濫用風險。

Commitment VI: Vigorously advance frontier safety and security research, and prevent safety and security risks in frontier fields. Innovate in the development and deployment of AI systems that embody the principle of AI for good, and disclose research findings with the public transparently, contributing to addressing pressing challenges faced by society. Strengthen the assessment of risks related to the abuse of AI systems in frontier fields, and prevent potential risks of their abuse in high-risk scenarios.

承諾七：加強安全治理國際合作，推動技術向善普惠應用。積極參與全球人工智能安全治理交流對話，共享風險識別、評估與防控經驗及最佳實踐。積極承擔社會責任，加強科普宣傳、開展技能培訓，提升人工智能素養和技能水平，助力彌合智能鴻溝。

Commitment VII: Strengthen international cooperation on AI safety, security and governance, and promote inclusive, beneficial applications of AI. Actively participate in global dialogues on AI safety, security and governance, and contribute to the exchange of experiences and best practices in risk identification, assessment, and mitigation. Fulfill social responsibilities by advancing public science communication, enhancing AI education, and providing skills training to improve AI literacy and capabilities, with a focus on bridging the global intelligence divide.