[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$ftIR0avXU22UTlzy2-5SVkRuVvDC_xTC9rMHy98SIDPk":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},1326,"当AI有了“数字身份证”","\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">当“万物皆可溯”，一个更好的网络世界已经预见。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">9月1日，国家互联网信息办公室、工业和信息化部、公安部、国家广播电视总局联合发布的《人工智能生成合成内容标识办法》（以下简称《办法》）正式施行。这部“AI内容治理里程碑”的法规，以“显式+隐式”双标识体系为核心，直击AI生成内容“真假难辨”的核心痛点，构建起覆盖生成、传播、追溯全链条的监管框架。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">《办法》提出的“显式标识”与“隐式标识”并行机制，给AI作品上了两把锁。显式标识要求在文本起始处添加文字提示、在图片角落嵌入角标、在视频播放界面设置动态水印，确保用户肉眼可见；隐式标识则通过文件元数据植入数字水印、服务商编码等技术手段，实现机器可读、不可篡改。这种“明暗结合”的标识方式，既保障了公众知情权，又为执法部门提供了追踪溯源的技术抓手。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">以近期引发热议的“AI图片诈骗电商退款”事件为例，不法分子利用20秒生成的虚假商品破损图，成功骗取75%的退款申请。《办法》施行后，未来，电商平台可通过核验文件元数据中的隐式标识，快速识别AI生成内容，阻断诈骗链条。《办法》中的重点内容之一是：明确平台责任，阻断虚假信息传播链。这无疑对网络信息服务提供者提出了更高层次的审核要求。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">传统媒体时代，大众传播媒体掌握甚至垄断着信息的把关权。互联网时代，媒体的把关权不断被分化，“人人都是传播者”一定程度上实现了信息传播的平权化，但也由此加剧了信息真伪难辨的问题。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">基于此，《办法》的实施将构建起从“生成端”到“传播端”的闭环治理，形成覆盖AI内容全生命周期的监管网络。从生成端看，《办法》明确要求在内容生成时即添加标识，确保内容可追溯；对传播端加强审核，如平台需对未标识内容添加风险提示。这种闭环治理模式，有效解决了“AI内容泛滥却无法追责”的困境。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">《办法》在强化监管的同时，也充分考量技术发展需求以及创作自由。针对部分原创内容被误判为AI生成的问题，《办法》引入分级处理制度：对通过隐式标识确认的AI生成内容，平台需采取更严格措施，如下架或限制传播。同时给予疑似内容复核的机会：对标识为“疑似生成”的内容，平台需提供便捷的用户反馈渠道，允许创作者提交证据申请复核。既避免误判打击创作积极性，又为平台提供灵活管理空间。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">尽管《办法》的实施在人工智能生成领域迈出了关键一步，但互联网AI治理仍面临诸多挑战。尤其在艺术创作、新闻报道等领域，难免出现伦理边界模糊等问题，AI生成内容的合理使用边界也亟待明确。但必须肯定的是，《办法》的施行正在重塑AI产业竞争格局，也在为传统产业赋能。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">如在医疗领域，AI生成的影像报告需添加显式标识，既保障患者知情权，又为远程诊疗提供合规依据；在教育领域，智能批改系统通过标识体系区分人机协作成果，维护学术诚信。于企业而言，强制标识要求倒逼企业优化训练数据管理。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">当每一张AI图片、每一段AI视频都带有清晰的“数字身份证”，当每一次内容传播都留下可追溯的技术轨迹，我们不仅在守护信息时代的真实与安全，更在为人工智能的可持续发展奠定基石，而这一切，都在动态向好中。\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 class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】经济观察报 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002F%E5%BD%93ai%E6%9C%89%E4%BA%86-%E6%95%B0%E5%AD%97%E8%BA%AB%E4%BB%BD%E8%AF%81\u002Far-AA1LFEB8?ocid=msedgdhphdr&cvid=92361af92e0143f38fef5a9af9aa26bb&ei=42\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">http:\u002F\u002Fu5a.cn\u002FJENk9\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\u002F09\u002Fa4c0948fb20b465cae573194ef7fd013\u002FAI领域.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F09\u002Fthumbs\u002Fa4c0948fb20b465cae573194ef7fd013\u002FAI领域.jpg",0,1,44,"2025-09-04 18:23",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%3A38e0b354-2bc2-474e-ab3e-f9d35915e321%3A0.wav?Expires=1756986814&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=0qdRTuAovMwqIPMeBFSUlFlEiVU%3D",6880676,"38e0b354-2bc2-474e-ab3e-f9d35915e321","2025-09-04 18:17","When AI has a \"Digital ID\",","\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">When \"Everything is Traceable,\" a better internet world is already foreseeable.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">On September 1st, the Cyberspace Administration of China, the Ministry of Industry and Information Technology, the Ministry of Public Security, and the National Radio and Television Administration jointly issued the \"Method for Identifying Artificial Intelligence Generated and Synthesized Content\" (hereinafter referred to as the \"Method\"), which came into effect. This regulation, dubbed a \"milestone in AI content governance,\" centers on a dual identification system of \"explicit + implicit,\" directly addressing the core issue of \"indistinguishable authenticity\" of AI-generated content, establishing a regulatory framework covering the entire chain of generation, dissemination, and traceability.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The \"explicit identification\" and \"implicit identification\" parallel mechanism proposed by the Method puts two locks on AI works. The explicit identification requires adding text prompts at the beginning of the text, embedding corner marks in the corners of images, and setting dynamic watermarks in video playback interfaces, ensuring visibility to users' eyes; the implicit identification uses technical means such as embedding digital watermarks and service provider codes in file metadata, achieving machine-readable and tamper-proof. This \"combination of explicit and implicit\" identification method not only guarantees the public's right to know but also provides law enforcement departments with technical tools for tracking and tracing.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Taking the recent controversial case of \"AI image fraud leading to e-commerce refund\" as an example, criminals used a fake product damage image generated in 20 seconds to successfully obtain 75% of refund applications. After the implementation of the Method, in the future, e-commerce platforms can quickly identify AI-generated content by verifying the implicit identification in the file metadata, blocking the fraud chain. One of the key contents of the Method is to clarify platform responsibilities and block the chain of false information dissemination. This undoubtedly raises higher-level review requirements for online information service providers.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">In the traditional media era, mass communication media controlled or even monopolized the gatekeeping power of information. In the internet era, the gatekeeping power of media has been continuously diversified, and \"everyone is a disseminator\" has achieved a certain degree of information dissemination equality, but it has also exacerbated the problem of distinguishing between true and false information.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Based on this, the implementation of the Method will build a closed-loop governance from the \"generation end\" to the \"dissemination end,\" forming a regulatory network covering the entire life cycle of AI content. From the generation end, the Method clearly requires that identifiers be added when content is generated, ensuring traceability of content; from the dissemination end, enhanced reviews are required, such as platforms needing to add risk warnings for unmarked content. This closed-loop governance model effectively solves the dilemma of \"AI content flooding without accountability.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">While strengthening regulation, the Method also fully considers the needs of technological development and creative freedom. Regarding the issue of some original content being mistakenly identified as AI-generated, the Method introduces a tiered processing system: for AI-generated content confirmed through implicit identification, platforms need to take more stringent measures, such as removing or restricting dissemination. At the same time, it provides opportunities for re-examination of suspected content: for content marked as \"suspected generation,\" platforms need to provide convenient user feedback channels, allowing creators to submit evidence for re-examination. This prevents mistaken judgments from undermining creativity while providing platforms with flexible management space.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Although the implementation of the Method marks a crucial step in the field of artificial intelligence generation, internet AI governance still faces many challenges. Especially in areas such as artistic creation and news reporting, there are inevitably issues of blurred ethical boundaries, and the reasonable usage boundaries of AI-generated content also need to be clarified. However, it must be affirmed that the implementation of the Method is reshaping the competitive landscape of the AI industry and empowering traditional industries.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">For example, in the medical field, AI-generated imaging reports need to have explicit identification, which not only ensures patients' right to know but also provides compliance basis for remote diagnosis and treatment; in the education field, intelligent grading systems use the identification system to distinguish human-computer collaboration results, maintaining academic integrity. For enterprises, the mandatory identification requirements force companies to optimize training data management.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">When each AI image and each AI video has a clear \"digital ID,\" and every content dissemination leaves a traceable technical trajectory, we are not only safeguarding truth and safety in the information age, but also laying the foundation for the sustainable development of artificial intelligence, and all of this is constantly improving dynamically.\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 class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">【News Source】Economic Observer \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002F%E5%BD%93ai%E6%9C%89%E4%BA%86-%E6%95%B0%E5%AD%97%E8%BA%AB%E4%BB%BD%E8%AF%81\u002Far-AA1LFEB8?ocid=msedgdhphdr&cvid=92361af92e0143f38fef5a9af9aa26bb&ei=42\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">http:\u002F\u002Fu5a.cn\u002FJENk9\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（This article is reposted by this website for the purpose of providing readers with more information and news. The content does not constitute investment or consumption advice. If you have any questions about the facts in 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%3Aeabeea3a-712c-4782-9c60-5773ea6506c4%3A0.wav?Expires=1774838477&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=AGh7EhgQOtDWQHChcIe97I%2FcVnU%3D","eabeea3a-712c-4782-9c60-5773ea6506c4",9947500]