[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fJiT5_welC92a0HrwWOW_KS4HFcONhHg5J7ZeWbIpY8s":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},1158,"WAIC上专家热议大模型治理和有序发展","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">7月28日，2025世界人工智能大会（WAIC）期间，由上海财经大学与中国互联网络信息中心（CNNIC）联合主办的“大模型治理和有序发展生态论坛”在上海世博中心举行。论坛汇聚全球产学研专家，深入研讨了大模型时代的数据治理、算法规范与伦理建设，共商人工智能健康发展路径。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">多位国内外权威专家出席本次论坛。中国新一代人工智能发展战略研究院执行院长龚克、联合国教科文组织东亚地区办事处主任夏泽翰（Shahbaz Khan）到会致辞。北京航空航天大学教授、工业和信息化部人工智能专家委主任郑志明深入解析“人工智能技术发展道路”。香港理工大学数据科学及人工智能学系讲座教授、深圳研究院院长张成奇聚焦“大模型发展中的数据治理”。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">上海财经大学校长刘元春在论坛致辞时提出，在理念层面，要从技术、政策、法律等角度强化智能向善的导向，创立大模型治理的良好环境，在制度层面，要加快制定大模型的科技规范标准，加强相关的立法创新，在实施层面，要打造“产学研用”相互开放、相互欣赏、相互借鉴的平台，促进理论创新和产业实践以及政策的协调发展。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">针对教育大模型治理，上海财经大学数字经济研究院院长高红冰教授提出了治理的10个方向、6项个性措施与12项共性技术落点。高红冰认为教育智能变革要解题，一定要构建新文科、新工科、新理科等新型学科体系，并且以育人为终极目的。其中新文科的建设对于解决人机关系问题尤为重要。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“要用电灯思维创造未来教育新物种，而不是用蜡烛思维改造传统教育体系”，高红冰提出：“教育智能变革需抓住三大关键，一是充分利用政策、技术、人才需求三个变革驱动力；二是向以学生为中心的新能力体系转变；三是以产学研融合的新学科缔造未来教育全新形态。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】\t中国教育报-中国教育新闻网（记者 任朝霞）\u003C\u002Fspan>\u003Ca href=\"http:\u002F\u002Fwww.jyb.cn\u002Frmtzcg\u002Fxwy\u002Fwzxw\u002F202507\u002Ft20250729_2111374703.html\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\"> http:\u002F\u002Fwww.jyb.cn\u002Frmtzcg\u002Fxwy\u002Fwzxw\u002F202507\u002Ft20250729_2111374703.html\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fspan>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F07\u002F9faa656354ea4639a210082bcb7080a8\u002F教育生态.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F07\u002Fthumbs\u002F9faa656354ea4639a210082bcb7080a8\u002F教育生态.jpg",0,1,220,"2025-07-30 23:37",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Aefda6663-e05e-4fb0-8be9-11617dcf5b71%3A0.wav?Expires=1753893838&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=tIBb8svwW2mTiPGpOSAw9OV%2FTKM%3D",4152208,"efda6663-e05e-4fb0-8be9-11617dcf5b71","2025-07-30 23:34","Experts discuss large model governance and orderly development at WAIC","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">On July 28, during the 2025 World Artificial Intelligence Conference (WAIC), the \"Large Model Governance and Orderly Development Ecosystem Forum,\" jointly organized by Shanghai University of Finance and Economics and the China Internet Network Information Center (CNNIC), was held at the Shanghai World Expo Center. The forum gathered experts from the global industry, academia, and research to deeply discuss data governance, algorithm standards, and ethical construction in the era of large models, and to explore the path for the healthy development of artificial intelligence.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Several authoritative experts from both domestic and international sources attended this forum. Professor Gong Ke, Executive Director of the Institute of Strategic Studies on New Generation Artificial Intelligence of China, and Shahbaz Khan, Director of the East Asia Regional Office of UNESCO, delivered speeches at the forum. Professor Zheng Zhiming from Beihang University and Chairman of the Expert Committee on Artificial Intelligence of the Ministry of Industry and Information Technology analyzed the \"development path of artificial intelligence technology.\" Professor Zhang Chengqi, Chair Professor of the Department of Data Science and Artificial Intelligence at the Hong Kong Polytechnic University and Director of the Shenzhen Research Institute, focused on \"data governance in the development of large models.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">In his speech at the forum, President Liu Yuanchun of Shanghai University of Finance and Economics proposed that, at the conceptual level, we should strengthen the guidance of benevolent intelligence from the perspectives of technology, policy, and law, and establish a favorable environment for the governance of large models. At the institutional level, we need to accelerate the formulation of technological standards for large models and enhance legislative innovation. At the implementation level, we should build a platform that is open, appreciative, and mutually learning among industry, academia, research, and application, promoting the coordinated development of theoretical innovation, industrial practice, and policies.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Regarding the governance of educational large models, Professor Gao Hongbing, Director of the Institute of Digital Economy at Shanghai University of Finance and Economics, proposed ten directions, six personalized measures, and twelve common technical points for governance. Gao Hongbing believes that the transformation of educational intelligence needs to solve problems, and it is essential to build new disciplines such as new liberal arts, new engineering, and new sciences, with nurturing people as the ultimate goal. Among them, the construction of new liberal arts is particularly important for solving issues related to human-machine relationships.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"We should create new species of future education with the mindset of electric lights, not reform the traditional education system with the mindset of candles,\" Gao Hongbing proposed: \"Educational intelligent transformation needs to grasp three key aspects: first, fully utilize the three driving forces of policy, technology, and talent demand; second, shift to a new capability system centered on students; third, create a new educational form through the integration of industry, academia, and research.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">[News Source] China Education Daily - China Education News Network (Reporter Ren Zhaoxia)\u003C\u002Fspan>\u003Ca href=\"http:\u002F\u002Fwww.jyb.cn\u002Frmtzcg\u002Fxwy\u002Fwzxw\u002F202507\u002Ft20250729_2111374703.html\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\"> http:\u002F\u002Fwww.jyb.cn\u002Frmtzcg\u002Fxwy\u002Fwzxw\u002F202507\u002Ft20250729_2111374703.html\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">This article is reprinted by this website to provide readers with more information. The content does not constitute investment or consumption advice. If there are any questions about the facts of the article, please verify with the relevant parties. The views expressed in the article are not the views of this website and are for reference only.\u003C\u002Fspan>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Aa626029e-348b-47eb-ba56-53e5b31b81e5%3A0.wav?Expires=1774838508&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=P9Bj%2Flg8UHBJGpKNobOPl2XsVZ0%3D","a626029e-348b-47eb-ba56-53e5b31b81e5",7214590]