1 citations · 1 across the 4 of their papers we have counts for
4 papers
How Professional Visual Artists are Negotiating Generative AI in the Workplace
Harry H. Jiang, Jordan Taylor, William Agnew
Generative AI has been heavily critiqued by artists in both popular media and HCI scholarship. However, more work is needed to understand the impacts of generative AI on profession…
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 +3
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…
Data Defenses Against Large Language Models
William Agnew, Harry H. Jiang, Cella Sum +2
Large language models excel at performing inference over text to extract information, summarize information, or generate additional text. These inference capabilities are implicate…
Sound Check: Auditing Audio Datasets
William Agnew, Julia Barnett, Annie Chu +6
Generative audio models are rapidly advancing in both capabilities and public utilization -- several powerful generative audio models have readily available open weights, and some…