Amazon新规：要求卖家标注图片素材中的“AI生成真人形象”

王昱 2026-07-26 02:55

王昱 2026/07/26 02:55

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本文核心信息是亚马逊近日推出新规，要求第三方卖家对商品素材中逼真AI生成真人形象进行披露，并嵌入指定元数据标签，相关干货如下：

1. 新规触发背景是纽约州“合成表演者”披露法规正式生效，规则明确要求AI生成不存在的真人模特、虚拟展示人物都要披露，例外情况为影视游戏虚构角色、AI修改真实人物外貌，不触发披露义务。

2. 违规处罚为首次违规罚款1000美元，后续每次违规罚款5000美元，亚马逊还计划给相关商品加消费者提示标签。现有研究显示带AI标识的内容用户互动率更低，会影响消费者信任和购买意愿。目前TikTok、YouTube等全球主流平台都在推进同类政策，是全球AI内容监管的大趋势。

本次亚马逊新规对品牌营销素材管理和合规运营提出新要求，相关干货如下：

1. 当前全球主流平台都在加强AI生成内容监管，这是行业明确的大趋势，新规明确了需要披露和豁免披露的AI素材类型，违规会面临最高单次5000美元的罚款，需要品牌重视合规风险。

2. 业内给出了可落地的应对方案：优先排查主力爆款、主图和品牌旗舰店的ASIN素材，识别符合披露要求的内容；将元数据管理前置到素材生产环节，和广告代理、设计师等合作方明确责任划分；系统留存创意brief、AI提示词等制作文件，佐证自身不存在误导意图；可选择真人模特配合AI生成背景的混合策略，既兼顾效率又符合合规要求。

3. 品牌当前需要持续平衡AI工具提效与消费者认知变化的矛盾，应对新的行业课题。

本次亚马逊新规针对卖家的政策解读、风险提示和应对干货整理如下：

1. 政策解读：新规要求卖家对AI生成的逼真不存在的真人形象素材做披露，添加符合标准的元数据标签，法律依据是纽约州生效的合成表演者法规，违规首次罚款1000美元，后续每次罚款5000美元，AI修改真实人物、影视虚构角色不在披露要求范围内。

2. 风险提示：亚马逊计划在商品页面增加面向消费者的AI提示标签，现有研究显示带AI标识的内容用户互动率更低，会降低消费者信任和购买意愿，影响商品转化。目前全球主流内容和电商平台都在跟进同类监管，是不可逆转的行业趋势，卖家需要尽早调整。

3. 应对步骤：按优先级排查存量素材，提前将元数据管理纳入生产流程，和设计合作方明确披露责任，留存制作记录，选择真人+AI背景的模式规避合规风险。

本次亚马逊AI素材监管新规，对做电商出海的工厂有诸多启示，相关干货如下：

1. 当前出海电商平台对AI营销素材的监管正在快速收紧，工厂布局自有品牌出海、开展线上零售时，营销素材环节必须符合平台和当地法规的合规要求，否则会面临高额罚款，影响店铺运营。

2. 如果工厂自主制作营销素材，需要建立合规审核流程，优先排查核心爆品的主图素材，提前将元数据管理纳入素材生产流程，留存所有制作相关记录，避免违规。如果外包素材制作，需要提前和合作方明确AI元素的披露责任，划分权责避免纠纷。

3. 对工厂推进数字化营销的启示：需要平衡AI工具带来的效率提升和合规要求，可以选择真人模特配合AI生成背景的制作方案，既降低营销制作成本，又符合监管要求，不会对消费者信任和转化产生负面影响。

本次新规反映出海电商营销服务行业的新变化，对AI营销相关服务商的干货如下：

1. 行业发展趋势：全球主流电商和内容平台都在推进AI生成内容的标识监管，AI营销素材的合规需求已经成为明确的行业刚需，后续相关监管要求只会越来越严格，市场对合规服务的需求会持续增长。

2. 客户核心痛点：大量品牌和卖家已经广泛使用AI生成营销素材，新规出台后，客户普遍面临存量素材梳理难、生产环节不合规、平衡合规与转化效果难的问题，带AI标识的内容转化更低，如何兼顾合规和业绩是客户最关心的痛点。

3. 服务商可针对性开发解决方案：帮客户排查存量合规风险，在素材生产环节提前嵌入合规元数据，明确各方责任划分，为客户提供符合合规要求的创意策略，帮助客户留存合规所需的各类文档，满足客户的合规需求。

亚马逊本次推出AI生成内容披露新规，对其他平台商的干货启示如下：

1. 当前全球范围内对AI合成内容加强监管已经成为普遍趋势，各地陆续出台相关监管法规，平台需要主动跟进合规要求，否则自身也会面临合规风险，亚马逊此次跟进纽约州法规，是平台响应地方监管的典型案例，进入北美市场的平台都需要提前做好同类准备。

2. 可参考的落地做法：亚马逊采用卖家端披露加元数据标记、平台端增加消费者提示标签的双层方案，目前TikTok、YouTube等主流平台都在推进同类政策，这种模式符合监管要求，可供其他平台参考。

3. 需要规避的风向：现有研究显示AI标识会降低用户互动率和消费者购买意愿，平台推出规则时需要平衡监管要求和平台交易效果，要提前权衡市场反应，明确规则适用边界和卖家责任，减少后续争议，降低规则对平台生态的负面影响。

本次亚马逊新规反映出AI生成内容普及后行业的新变化，相关研究干货整理如下：

1. 产业新动向：生成式AI在营销素材领域大规模应用后，AI内容监管已经从政策讨论落地到行业执行层面，地方性法规出台后，全球主流平台快速跟进落实要求，AI内容监管正在成为全球电商和内容行业的通用基础规则，统一监管的趋势已经形成。

2. 产业新问题：监管落地后催生了新的研究课题，AI提升营销生产效率的优势，和监管要求、消费者信任之间存在明显矛盾，AI标识会降低用户互动和转化效率，如何平衡效率、合规、消费者体验三者的关系，成为行业待解决的新问题，责任如何在平台、卖家、创作者之间划分，也需要进一步研究。

3. 本次业内提出的企业多维度应对框架，也为后续研究AI合规时代的企业应对策略提供了鲜活的行业案例。

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Quick Summary

This article covers Amazon's new regulation that requires third-party sellers to disclose realistically-looking AI-generated human figures in product content and add the required metadata tags. Key details are as follows:

1. The new rule was introduced after New York State's "synthetic performer" disclosure law came into effect. The law requires disclosure of AI-generated non-existent human models and virtual display characters, with exceptions for fictional characters in films and video games, and AI-altered appearances of real people, which do not carry disclosure obligations.

2. Violators will face a $1,000 fine for the first offense and $5,000 for each subsequent violation. Amazon also plans to add consumer alert tags to non-compliant products. Existing research shows that content labeled as AI-generated has lower user engagement and hurts consumer trust and purchase intent. Currently, major global platforms including TikTok and YouTube are rolling out similar policies, reflecting a broader global trend of AI content regulation.

Amazon's new regulation raises new requirements for brand marketing content management and compliant operations. Key takeaways are as follows:

1. Strengthened AI-generated content regulation across major global platforms is a clear industry trend. The new rule clearly defines which AI-generated content requires disclosure and which is exempt, with non-compliance facing fines of up to $5,000 per violation. Brands need to take this compliance risk seriously.

2. The industry has put forward actionable solutions: prioritize auditing ASIN content for top-selling products, main product images and brand store pages to identify content that requires disclosure; integrate metadata management into the content production process upfront, and clarify responsibility allocation with partners including advertising agencies and designers; systematically retain production documents such as creative briefs and AI prompts to prove no intent to mislead consumers; a hybrid strategy of using real human models with AI-generated backgrounds can balance efficiency and compliance.

3. Brands now need to continuously balance the efficiency gains from AI tools with shifting consumer perceptions to address this new industry challenge.

Below is a policy breakdown, risk alert and actionable guidance for sellers on Amazon's new regulation:

1. Policy breakdown: The rule requires sellers to disclose AI-generated realistic non-existent human figures in content and add compliant metadata tags. It is rooted in New York State's newly effective synthetic performer law. First violations carry a $1,000 fine, and subsequent violations carry a $5,000 fine per offense. AI-altered real people and fictional entertainment characters are excluded from disclosure requirements.

2. Risk alert: Amazon plans to add consumer-facing AI alert tags to product pages. Existing research shows AI-labeled content has lower user engagement, which reduces consumer trust and purchase intent and hurts product conversion. Currently, all major global content and e-commerce platforms are rolling out similar regulation, an irreversible industry trend that sellers need to adapt to early.

3. Action steps: Audit existing content by priority, integrate metadata management into production workflows early, clarify disclosure responsibilities with design partners, retain production records, and use a real-model-plus-AI-background model to avoid compliance risks.

Amazon's new AI content regulation offers key insights for export-focused Chinese factories doing cross-border e-commerce. Key takeaways are as follows:

1. Regulation of AI-generated marketing content on cross-border e-commerce platforms is tightening rapidly. When factories build their own brands and run online retail, marketing content must comply with platform and local regulatory requirements, otherwise they face heavy fines that disrupt store operations.

2. For factories producing marketing content in-house, they need to establish a compliance audit workflow, prioritize auditing main images for top-selling products, integrate metadata management into content production upfront, and retain all production-related records to avoid violations. For factories outsourcing content production, they need to clarify disclosure responsibilities for AI elements with partners in advance to divide liabilities and avoid disputes.

3. For factories advancing digital marketing: the new rule requires balancing the efficiency gains of AI tools with compliance requirements. A production model of combining real human models with AI-generated backgrounds cuts marketing production costs while meeting regulatory requirements, and will not hurt consumer trust or conversion.

The new regulation reflects emerging changes in the cross-border e-commerce marketing service industry, with key takeaways for AI marketing service providers as follows:

1. Industry trend: All major global e-commerce and content platforms are rolling out labeling requirements for AI-generated content. Compliance for AI marketing content is now a clear, established industry demand. Future regulation will only become stricter, and market demand for compliance services will continue to grow.

2. Core client pain points: A large number of brands and sellers already widely use AI to generate marketing content. After the new rule, clients generally face challenges including auditing legacy content, non-compliant production workflows, and balancing compliance with conversion performance. Since AI-labeled content delivers lower conversion, balancing compliance and business performance is the top pain point for clients.

3. Service providers can develop targeted solutions: help clients audit legacy content for compliance risks, embed compliant metadata into content production processes upfront, clarify responsibility allocation across parties, provide creative strategies that meet compliance requirements, and help clients retain all documentation required for compliance to meet client needs.

Amazon's new AI-generated content disclosure rule offers key insights for other platform operators. Key takeaways are as follows:

1. Strengthened regulation of AI synthetic content is now a widespread global trend, with regional regulators rolling out relevant laws and regulations one after another. Platforms need to proactively adapt to compliance requirements, or they will face compliance risks themselves. Amazon's move to align with New York State's regulation is a typical case of platforms responding to local regulation, and all platforms entering the North American market need to prepare for similar requirements in advance.

2. Actionable reference: Amazon adopted a two-layer model of seller-side disclosure with metadata tagging plus platform-side consumer alert tags, which is already being rolled out by major platforms including TikTok and YouTube. This model meets regulatory requirements and can serve as a reference for other platforms.

3. Pitfalls to avoid: Existing research shows AI labeling reduces user engagement and consumer purchase intent. When rolling out new rules, platforms need to balance regulatory requirements with platform transaction performance, weigh market reactions in advance, clarify the scope of application and seller responsibilities, reduce subsequent disputes, and minimize negative impacts on the platform ecosystem.

Amazon's new regulation reflects new industry changes after the widespread adoption of AI-generated content. Key research insights are organized as follows:

1. New industry development: After generative AI was adopted at scale in marketing content, AI content regulation has moved from policy discussion to industry implementation. Following the introduction of regional regulation, major global platforms have quickly moved to implement requirements. AI content regulation is becoming a universal foundational rule for the global e-commerce and content industries, and a trend toward unified regulation has formed.

2. New industry questions: Regulatory implementation has spawned new research topics. There is a clear contradiction between AI's advantage of boosting marketing production efficiency, regulatory requirements, and consumer trust. AI labeling reduces user engagement and conversion efficiency. How to balance efficiency, compliance and consumer experience has become a new unsolved industry problem, and how to allocate liability across platforms, sellers and creators also requires further research.

3. The multi-dimensional enterprise response framework proposed by the industry also provides a fresh industry case for future research on corporate strategy in the AI compliance era.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

【亿邦原创】7月26日消息，亚马逊近日向第三方卖家发布通知，要求对商品图片中包含的“逼真AI生成真人形象”进行披露，并在符合条件的素材中嵌入特定元数据标签。这一举措的直接触发因素是纽约州最新出台的“合成表演者”披露法规——该法律已于6月9日正式生效。

根据通知要求，当广告中的图片或视频包含逼真的AI生成真人形象时，卖家必须进行明确披露。

具体而言，使用AI生成一个不存在的真人模特，或创造一个虚拟人物来展示商品，均属于监管重点关注的情形。平台同时要求卖家在相关素材中嵌入符合IPTC标准的元数据关键词，用于标记“合成表演者”。

新规的适用边界存在若干明确的例外情形。

在创意制作领域，有两类情况不在披露要求之列：一是电影、电视或电子游戏中的虚构角色；二是使用AI工具对真实人物外貌进行修改的内容。

由此，对真人照片进行AI美化、修改背景或调整外观细节等操作，通常不触发合成表演者的披露义务。

上述规则的法律依据来自纽约州的“合成表演者”披露法规。

该法律将“合成表演者”定义为通过生成式AI或软件算法创建、复制或修改的数字资产，其目的在于让消费者认为其中存在由某个人完成的人类表演，而该人物并非可识别的真实个人。

法规进一步规定，若广告制作方或发布方知晓广告中包含合成表演者，就必须以显著方式向消费者披露这一事实。在违规处罚方面，首次违规罚款1000美元，后续每次违规罚款升至5000美元。

除要求卖家端披露外，亚马逊还计划在相关商品页面增加面向消费者的提示标签。

有论者分析称，这一做法可能需要权衡潜在的市场反应。已有研究显示，带有AI标识的内容往往会获得较低的用户互动率，在消费者信任和购买意愿方面可能产生一定影响。

值得注意的是，加强AI视觉素材监管力度的趋势并非亚马逊一家独有。

近半年以来，TikTok和YouTube等主要平台也正在推进AI内容标识政策，反映出全球范围内对合成内容加强监管的普遍取向。

对品牌方而言，如何在AI工具带来的效率提升与消费者对AI披露标签可能产生的认知变化之间取得平衡，正成为一个需要持续应对的课题。

面对政策变化，业内人士建议企业从几个维度着手准备。

在审查环节，应优先检查主力爆款商品、主图和品牌旗舰店页面，逐一识别哪些ASIN使用了AI生成真人形象。

在素材管理方面，元数据管理应在素材生产阶段即纳入流程，而非在上传后再行补救；若企业与广告代理商或自由职业设计师合作，应在交付要求中明确是否包含AI生成元素、由谁负责标识以及责任如何划分。

在记录留存方面，由于法律执行在一定程度上取决于主观意图和是否知情，企业应系统保存创意brief、AI提示词和制作说明等文件。

例如，若素材设计目标明确为模特假人、卡通形象或抽象头像，相关记录可以佐证其并非意图制造真人表演者的印象。

在创意路径选择上，不同方式对应不同的成本和披露结果，采取“真人模特配合AI生成背景”的混合制作策略，通常不会触发合成表演者规则，这或将成为部分品牌在合规框架下权衡效率的一种可行选择。

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文章来源：亿邦动力

FAQ回顾

亚马逊对卖家使用AI生成真人形象有哪些要求？

亚马逊要求卖家对商品图片中包含的逼真AI生成真人形象进行明确披露，在相关素材中嵌入符合IPTC标准的元数据关键词标记“合成表演者”，首次违规罚款1000美元，后续每次违规罚款5000美元。

哪些AI生成的真人形象不需要进行披露？

有两类情况不在披露要求之列，一是电影、电视或电子游戏中的虚构角色，二是使用AI工具对真实人物外貌进行修改的内容，比如对真人照片进行AI美化、修改背景或调整外观细节等操作无需披露。

企业应对AI生成内容披露新规有哪些合规方法？

企业可从多维度合规：优先审查爆款商品、主图及品牌旗舰店页面的AI生成真人形象使用情况；素材生产阶段就纳入元数据管理；系统保存创意brief、AI提示词等制作文件；也可采用真人模特配合AI生成背景的混合制作策略。

为什么亚马逊要推出AI生成真人形象标注新规？

该举措的直接触发因素是纽约州已正式生效的“合成表演者”披露法规，要求广告中包含合成表演者需以显著方式向消费者披露，同时也符合全球范围内对合成内容加强监管的普遍取向。