Data Leverage References

Hamidah Oderinwale, Anna Kazlauskas

Research agenda documenting AI training data deals from 2020 to 2025. Reveals persistent market fragmentation, five distinct pricing mechanisms (from per-unit licensing to commissioning), and that most deals exclude original creators from compensation. Found only 7 of 24 major deals compensate original creators.

Creston Brooks, Samuel Eggert, Denis Peskoff

R. Maria del Rio-Chanona, Nadzeya Laurentsyeva, Johannes Wachs

Shayne Longpre, Robert Mahari, Anthony Chen, Naana Obeng-Marnu, Damien Sileo, William Brannon, Niklas Muennighoff, Nathan Khazam, Jad Kabbara, Kartik Perisetla, Xinyi Wu, Enrico Shippole, Kurt Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Sara Hooker

Large-scale audit of over 1,800 text AI datasets analyzing trends, permissions of use and global representation. Found frequent miscategorization of licences on dataset hosting sites, with licence omission rates of more than 70% and error rates of more than 50%. Released the Data Provenance Explorer tool for practitioners.

Deckelmann, Selena

If there was a generative artificial intelligence system that could, on its own, write all the information contained in Wikipedia, would it be the same as Wikipedia today?

Carlini, Nicholas, Tramer, Florian, Wallace, Eric, Jagielski, Matthew, Herbert-Voss, Ariel, Lee, Katherine, Roberts, Adam, Brown, Tom B., Song, Dawn, Erlingsson, {\'U}lfar, Oprea, Alina, Papernot, Nicolas

Nicholas Vincent, Brent Hecht

Nicholas Vincent, Isaac Johnson, Patrick Sheehan, Brent Hecht

Connor McMahon, Isaac Johnson, Brent Hecht