A Survey of Web Content Control for Generative AI
<|reference_start|>A Survey of Web Content Control for Generative AI: 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.<|reference_end|>
@article{dinzinger2024a,
    title={A Survey of Web Content Control for Generative AI},
    author={Michael Dinzinger, Florian He{ss}, Michael Granitzer},
    journal={arXiv preprint arXiv:2404.02309},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.02309},
    primaryClass={cs.IR}
}