AAAI 2026technical0 citations
How Do Data Owners Say No? A Case Study of Data Consent Mechanisms in Web-Scraped Vision-Language AI Training Datasets
Chung Peng Lee, Rachel Hong, Harry H. Jiang, Aster Plotnik, William Agnew, Jamie Heather Morgenstern
Abstract
The internet has become the main source of data to train modern text-to-image or vision-language models, yet it is increasingly unclear whether web-scale data collection practices for training AI systems adequately respect data owners
BibTeX
@inproceedings{aaai2026_howdodataownerss,
title = {How Do Data Owners Say No? A Case Study of Data Consent Mechanisms in Web-Scraped Vision-Language AI Training Datasets},
author = {Chung Peng Lee and Rachel Hong and Harry H. Jiang and Aster Plotnik and William Agnew and Jamie Heather Morgenstern},
booktitle = {AAAI 2026},
year = {2026}
}