Consent in Crisis: The Rapid Decline of the AI Data Commons
<|reference_start|>Consent in Crisis: The Rapid Decline of the AI Data Commons: General-purpose artificial intelligence (AI) systems are built on massive swathes of public web data, assembled into corpora such as C4, RefinedWeb, and Dolma. To our knowledge, we conduct the first, large-scale, longitudinal audit of the consent protocols for the web domains underlying AI training corpora. Our audit of 14,000 web domains provides an expansive view of crawlable web data and how codified data use preferences are changing over time. We observe a proliferation of AI-specific clauses to limit use, acute differences in restrictions on AI developers, as well as general inconsistencies between websites' expressed intentions in their Terms of Service and their robots.txt. We diagnose these as symptoms of ineffective web protocols, not designed to cope with the widespread re-purposing of the internet for AI. Our longitudinal analyses show that in a single year (2023-2024) there has been a rapid crescendo of data restrictions from web sources, rendering ~5%+ of all tokens in C4, or 28%+ of the most actively maintained, critical sources in C4, fully restricted from use. For Terms of Service crawling restrictions, a full 45% of C4 is now restricted. If respected or enforced, these restrictions are rapidly biasing the diversity, freshness, and scaling laws for general-purpose AI systems. We hope to illustrate the emerging crises in data consent, for both developers and creators. The foreclosure of much of the open web will impact not only commercial AI, but also non-commercial AI and academic research.<|reference_end|>
@article{longpre2024consent,
    title={Consent in Crisis: The Rapid Decline of the AI Data Commons},
    author={Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah
  Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South,
  Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil
  Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Chitongo, Da Yin, Damien
  Sileo, Deividas Mataciunas, Diganta Misra, Emad Alghamdi, Enrico Shippole,
  Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester Miranda,
  Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye,
  Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien,
  Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li,
  Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland},
    journal={arXiv preprint arXiv:2407.14933},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.14933},
    primaryClass={cs.CL cs.AI cs.LG}
}