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《纽约时报》、法新社等40多家新闻机构新近加入SPUR联盟，使联盟成员超过80家。本文解释“内容遥测”如何追踪AI使用新闻的过程，以及这一技术标准为何仍不能自动解决付费与版权争议。

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On October 12, more than 40 news publishers joined an international group that wants clearer rules for how artificial intelligence uses journalism. The new members include The New York Times, Agence France-Presse, The Economist and The Atlantic. Their arrival brought the SPUR Coalition to more than 80 members across over 20 countries. The group’s central question is simple: can a publisher see when an AI system uses its work?

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10月12日，40多家新闻出版机构加入了一个国际组织，该组织希望为人工智能如何使用新闻内容建立更清晰的规则。新成员包括《纽约时报》、法新社、《经济学人》和《大西洋月刊》。它们加入后，SPUR联盟在20多个国家拥有了80多家成员。这个组织的核心问题很简单：出版机构能否看见AI系统何时使用了自己的作品？

AI tools need large amounts of reliable material. They may use news reports during training or when preparing an answer for a user. Publishers argue that this can create value for technology companies without permission or payment. They also face a second problem. When search engines show complete AI answers, readers may not visit the original website. Reuters reported that Google search traffic to more than 2,500 sites fell 33% between November 2024 and November 2025.

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AI工具需要大量可靠材料。它们可能在训练时使用新闻报道，也可能在为用户准备答案时使用。出版机构认为，这可能让科技公司在未经许可或未付费的情况下获得价值。它们还面临第二个问题：当搜索引擎直接展示完整的AI答案时，读者可能不会访问原网站。路透社报道称，从2024年11月至2025年11月，2500多个网站来自谷歌搜索的流量下降了33%。

SPUR has developed an open technical framework called Content Telemetry. It gives AI systems a shared language for reporting five kinds of use. A system can record when it retrieves an article, uses it as evidence, cites it, shows it to a user, or receives a response such as a click. The record can then be sent to the content owner.

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SPUR开发了一个名为“内容遥测”的开放技术框架。它为AI系统提供了一套共同语言，用来报告五类使用行为。系统可以记录自己何时检索一篇文章、把文章作为证据、引用文章、向用户展示文章，或收到点击等用户反应。随后，这份记录可以发送给内容所有者。

This information could make licensing easier. A publisher and an AI company could agree on what uses are allowed and how payment should be calculated. Both sides would then have a common record instead of depending only on private estimates. Smaller news groups may also gain a clearer way to show the value of their reporting. An Argentine publishers’ association said shared standards could help media companies of different sizes take part in a global market.

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这些信息可能让许可交易变得更容易。出版机构和AI公司可以约定允许哪些用途，以及如何计算费用。这样，双方就能拥有共同记录，而不必只依赖各自的内部估算。较小的新闻机构也可能得到更清晰的方法，来展示其报道的价值。阿根廷一家出版机构协会表示，共同标准可以帮助不同规模的媒体公司参与全球市场。

However, a standard is not the same as a law. It cannot force every AI company to report its activity, pay for material, or accept a publisher’s conditions. It also does not settle current copyright cases. SPUR says it is still working on tests, evidence checks and tools that AI companies can adopt. The system must also protect user privacy while giving publishers useful information.

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然而，标准并不等同于法律。它不能强迫所有AI公司报告自己的活动、为材料付费或接受出版机构的条件，也不能解决目前的版权诉讼。SPUR表示，它仍在研究测试方案、证据核验方法和便于AI公司采用的工具。该系统还必须在向出版机构提供有用信息的同时保护用户隐私。

The coalition’s growth shows that the argument is moving beyond individual court cases. Publishers are trying to build practical rules for a market that developed faster than old business agreements. Content Telemetry may not decide who is legally right, but it could make invisible content use easier to measure. Fair payment is difficult to discuss when one side cannot see what has been used.

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联盟的扩大表明，这场争论正在超越单独的法院案件。出版机构试图为一个发展速度快于旧有商业协议的市场建立实用规则。“内容遥测”或许不能裁定法律上谁对谁错，但可以让看不见的内容使用更容易被衡量。当一方甚至看不见自己的内容如何被使用时，讨论公平付费就会非常困难。

新闻来源

Reuters · NYT, Economist among publishers joining coalition to curb unpaid AI use

SPUR Coalition · SPUR Content Telemetry Standard v.1 published

ADEPA · ADEPA se incorpora a la Coalición SPUR para fortalecer la protección de los contenidos periodísticos frente a la inteligencia artificial

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