mlsanityData to 14 Oct 2026

A Survey of Web Content Control for Generative AI

arXiv 2404.02309 ↗First posted 2 Apr 2024cs.IRcited by 3

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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.