A Survey of Web Content Control for Generative AI
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Abstract (arXiv)
The groundbreaking advancements around generative AI have recently caused a wave of concern culminating in a row of lawsuits, including high-profile actions against Stability AI and OpenAI. This situation of legal uncertainty has sparked a broad discussion on the rights of content creators and publishers to protect their intellectual property on the web. European as well as US law already provides rough guidelines, setting a direction for technical solutions to regulate web data use. In this course, researchers and practitioners have worked on numerous web standards and opt-out formats that empower publishers to keep their data out of the development of generative AI models. The emerging AI/ML opt-out protocols are valuable in regards to data sovereignty, but again, it creates an adverse situation for a site owners who are overwhelmed by the multitude of recent ad hoc standards to consider. In our work, we want to survey the different proposals, ideas and initiatives, and provide a comprehensive legal and technical background in the context of the current discussion on web publishers control.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Apr 2024.
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Citing papers per year: 2024: 1; 2025: 0; 2026: 2.
3 papers.
- 2024Consent in Crisis: The Rapid Decline of the AI Data Commonscited by 46
- 2026Yes, But Not Always. Generative AI Needs Nuanced Opt-incited by 0
- 2026Identifying AI Web Scrapers Using Canary Tokenscited by 0
- 2026Identifying AI Web Scrapers Using Canary Tokens13 May 2026
- 2026Yes, But Not Always. Generative AI Needs Nuanced Opt-in10 Apr 2026
- 2024Consent in Crisis: The Rapid Decline of the AI Data Commons20 Jul 2024