惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

博客园 - 叶小钗
S
Security @ Cisco Blogs
月光博客
月光博客
V
Vulnerabilities – Threatpost
The Hacker News
The Hacker News
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Cisco Talos Blog
Cisco Talos Blog
J
Java Code Geeks
Scott Helme
Scott Helme
S
Schneier on Security
腾讯CDC
博客园 - 司徒正美
L
Lohrmann on Cybersecurity
Latest news
Latest news
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
有赞技术团队
有赞技术团队
AWS News Blog
AWS News Blog
V
Visual Studio Blog
D
Darknet – Hacking Tools, Hacker News & Cyber Security
Hugging Face - Blog
Hugging Face - Blog
爱范儿
爱范儿
小众软件
小众软件
博客园 - Franky
Attack and Defense Labs
Attack and Defense Labs
美团技术团队
IT之家
IT之家
TaoSecurity Blog
TaoSecurity Blog
SecWiki News
SecWiki News
P
Proofpoint News Feed
阮一峰的网络日志
阮一峰的网络日志
博客园_首页
PCI Perspectives
PCI Perspectives
量子位
T
Threat Research - Cisco Blogs
酷 壳 – CoolShell
酷 壳 – CoolShell
Last Week in AI
Last Week in AI
Cyberwarzone
Cyberwarzone
The Cloudflare Blog
博客园 - 三生石上(FineUI控件)
L
LINUX DO - 最新话题
Forbes - Security
Forbes - Security
罗磊的独立博客
宝玉的分享
宝玉的分享
Simon Willison's Weblog
Simon Willison's Weblog
雷峰网
雷峰网
www.infosecurity-magazine.com
www.infosecurity-magazine.com
人人都是产品经理
人人都是产品经理
N
News and Events Feed by Topic

Policy Archives - Creative Commons

From Signals to Infrastructure: Strengthening the Commons for the AI Era - Creative Commons From Signals to Infrastructure: Strengthening the Commons for the AI Era - Creative Commons Update on CC Signals: What Changed and Why - Creative Commons Update on CC Signals: What Changed and Why - Creative Commons AI's Infrastructure Era: Reflections from the AI Impact Summit in Delhi - Creative Commons AI's Infrastructure Era: Reflections from the AI Impact Summit in Delhi - Creative Commons How to Keep the Internet Human - Creative Commons How to Keep the Internet Human - Creative Commons Where CC Stands on Pay-to-Crawl - Creative Commons Where CC Stands on Pay-to-Crawl - Creative Commons We Asked, You Answered: How Your Feedback Shapes CC Signals - Creative Commons We Asked, You Answered: How Your Feedback Shapes CC Signals - Creative Commons Why CC Signals: An Update - Creative Commons Introducing CC Signals: A New Social Contract for the Age of AI - Creative Commons Introducing CC Signals: A New Social Contract for the Age of AI - Creative Commons Understanding CC Licenses and AI Training: A Legal Primer - Creative Commons Understanding CC Licenses and AI Training: A Legal Primer - Creative Commons CC @ SXSW: Protecting the Commons in the Age of AI - Creative Commons CC @ SXSW: Protecting the Commons in the Age of AI - Creative Commons
Why CC Signals: An Update - Creative Commons
Alumnus · 2025-07-02 · via Policy Archives - Creative Commons
CC Signals - An Update © 2025 by Creative Commons is licensed under CC BY 4.0
CC Signals – An Update © 2025 by Creative Commons is licensed under CC BY 4.0

Thanks to everyone who attended our CC signals project kickoff last week. We’re receiving plenty of feedback, and we appreciate the insights. We are listening to all of it and hope that you continue to engage with us as we seek to make this framework fit for purpose.

Some of the input focuses on the specifics of the CC signals proposal, offering constructive questions and suggesting ideas for improving CC signals in practice. The most salient type of feedback, however, is touching on something far deeper than the CC signals themselves – the fact that so much about AI seems to be happening to us all, rather than with or for us all, and that the expectations of creators and communities are at risk of being overshadowed by powerful interests.

This sentiment is not a surprise to us. We feel it, too. In fact, it is why we are doing this project. CC’s goal has always been to grow and sustain the thriving commons of knowledge and culture. We want people to be able to share with and learn from each other, without being or feeling exploited. CC signals is an extension of that mission in this evolving AI landscape.

We believe that the current practices of AI companies pose a threat to the future of the commons. Many creators and knowledge communities are feeling betrayed by how AI is being developed and deployed. The result is that people are understandably turning to enclosure. Eventually, we fear that people will no longer want to share publicly at all. 

CC signals are a first step to reduce this damage by giving more agency to those who create and hold content. Unlike the CC licenses, they are explicitly designed to signal expectations even where copyright law is silent or unclear, when it does not apply, and where it varies by jurisdiction. We have listened to creators who want to share their work but also have concerns about exploitation. CC signals provide a way for creators to express those nuances.  The CC signals build on top of developing standards for expressing AI usage preferences (e.g., via robots.txt). Creators who want to fully opt out of machine reuse do not need to use a CC signal. CC signals are for those who want to keep sharing, but with some terms attached.

The challenge we’re all facing in this age of AI is how to protect the integrity and vitality of the commons. The listening we’ve been doing so far, across creator communities and open knowledge networks, has led us here, to CC signals. Our shared commitment is to protect the commons so that it remains a space for human creativity, collaboration, and innovation, and to make clear our expectation that those who draw from it give something in return. 

Our goal is to advocate for reciprocity while upholding our values that knowledge and creativity should not be treated as commodities. 

Our goal is to find a path between a free-for-all and an internet of paywalls.

Copyright will not get us there. Nor should it. And we don’t think the boundaries of copyright tell us everything we need to know about navigating this moment. Just this week, Open Future released a report that calls for going beyond copyright in this debate, on the path to a healthy knowledge commons.

This is the beginning of the conversation, not the end. We are listening. From what we have heard, CC signals, or something like it, is the best practical mechanism to avoid the dual traps of total exploitation or total enclosure, both of which damage the commons. We have shared our current progress because we want to learn how to design it to meet your needs. We invite you to continue sharing feedback so we can shape CC signals together in a way that works for diverse communities.

In the months ahead, we’ll be providing more detail about how CC signals are developing, including key themes we are hearing, along with the questions we are exploring and our next steps.

Posted 02 July 2025