Love Data: Protecting and Empowering Stakeholders in Today’s AI ecosystem
The rapid growth of artificial intelligence (AI) has created a complex ecosystem where competing interests—governments, creators, AI companies, and users—intersect. This power dynamic has sparked tension between innovation, regulation, and individual rights. Balancing and accommodating the power tussle among stakeholders is essential for the sustainable development of AI. Today, the current ecosystem concentrates most power and control in the hands of a few entities, resulting in unintended harms and suboptimal development.
Shawn Shan's research tackles these challenges by developing technical solutions to mitigate the harms of AI misuse and restore power balance among stakeholders. Shan will begin by discussing his research on protecting creators from unauthorized style mimicry. Then, he will present a proactive data protection system that employs clean-label data poisoning techniques to prevent unwanted data scraping. Finally, he will discuss maximizing external impact of his work and his vision for building a more collaborative AI ecosystem.
Speaker’s Bio:Shawn Shan is an incoming Assistant Professor of Computer Science at Dartmouth College. His research sits at the intersection of security and machine learning, focusing on safeguarding AI systems and mitigating harms from AI misuse. He has received MIT Tech Review Innovator of the Year, MIT Tech Review 35 Under 35, Forbes 30 Under 30, the USENIX Internet Defense Prize, and Distinguished Paper Awards at USENIX Security and ACM CCS.
This is a virtual event held on Zoom: https://rit.zoom.us/j/95955474603?
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- February 12, 1PM [Zoom]:Data Rescue Project
- February 18, 1PM [In-person]: Data Visualization: Painting with Weather Data in OpenProcessing
- February 26, 2PM [In-person]: Meme Epigraphy: Student-made Graffiti in RIT Campus Culture
- February 2 – 27: Data Scavenger Hunt
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