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A Survey of Web Content Control for Generative AI

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arxiv 2404.02309 v1 pith:LXDBZHOV submitted 2024-04-02 cs.IR

classification cs.IR
keywords datagenerativepublisherscontentcontroldiscussionlegalopt-out
verification ladder T0 review T1 audit T2 compute T3 formal

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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.

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Cited by 1 Pith paper

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  1. Somesite I Used To Crawl: Awareness, Agency and Efficacy in Protecting Content Creators From AI Crawlers

    cs.HC 2024-11 conditional novelty 6.0 of 10

    Most professional artists lack the awareness and ability to use robots.txt, many hosting platforms do not let them edit it, and a substantial share of AI assistant crawlers ignore the protocol.

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