Concerned about your work being stolen by AI, with little you can do about it?
Image generating AI platforms, trained on images scraped without permission from the internet, continue to raise understandable concerns for creative practitioners. But what protective measures are available to you as an illustrator when it’s essential to have your work online for promotion?
At this event, Ben Y. Zhao, Professor of Computer Science at University of Chicago, takes us through Nightshade and Glaze, the software tools developed by his department, explaining how they can be applied to your images to disrupt generative AI and help protect your work online.
Ben’s expert presentation explains how the software works and what the benefits are, and will be followed by a Q&A. If you are looking for protective solutions or just a broader understanding of this area, then this event is for you.
The session will include:
- The rise of generative AI
- The Glaze and Nightshade programmes
- How they work in protecting your artwork from scraping for AI training
- Q&A
Presenter Ben Y. Zhao is Neubauer Professor of Computer Science, University of Chicago
Ben completed his Ph.D. at U.C. Berkeley (2004), and B.S. from Yale (1997). He is a Fellow of the ACM, and a recipient of the NSF CAREER award, MIT Technology Review's TR-35 Award (Young Innovators Under 35), USENIX Internet Defense Prize, ComputerWorld Magazine's Top 40 Technology Innovators award, IEEE ITC Early Career Award, and Faculty awards from Google, Amazon, and Facebook. His work has been covered by many media outlets including New York Times, CNN, NBC, BBC, MIT Tech Review, Wall Street Journal, Forbes, and New Scientist.
Ben has published over 180 articles in areas of security and privacy, machine learning, networking, and HCI. He served as TPC (co-)chair for the World Wide Web conference (WWW 2016) and ACM Internet Measurement Conference (IMC 2018), and on the Steering Committee of IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).
This event is free for AOI members - limited spaces available.
Please note that this event will be recorded and made available to ticket holders for 2 weeks from presentation date.
