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LLNL and Partners Emphasize the Urgency of AI Safety Measures at Recent Workshop

LLNL and Partners Emphasize the Urgency of AI Safety Measures at Recent Workshop
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United States , Stanford University , New York , Lawrence Livermore National Laboratory , United Kingdom , Sandia National Laboratories , Ruben Glatt , Zico Kolter , Cindy Gonzales , Yoshua Bengio , Pat Falcone , Diyi Yang , Michael Cohen , Philip Kegelmeyer , David Dalrymple , Juston Moore , Tim Lillicrap , Adam Gleave , Timo Bremer , Brian Giera , Dylan Hadfield Mennell , Stuart Russell , Aleksander Madry , David Krueger , Dan Hendrycks , Kathy Yelick ,

Academics work to detect ChatGPT and other AI writing

Human- and machine-generated prose may one day be indistinguishable. But that does not quell academics’ search for an answer to the question “What makes prose human?” ....

Nestor Pereira , Miami Dade , Diyi Yang , Yoshua Bengio , John Mcphee , Annie Dillard , Joseph Helble , Lehigh University , Princeton University , College Of Marin , Stanford University , University Of Montreal , Miami Dade College , Turing Award , Edward Tian , Inside Higher ,

Training an AI model is critical to effective integration

Training an AI model is critical to effective integration
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United States , John Ashley , Zijiej Wang , Diyi Yang , Dongjin Choi , Barry Hurewitz , Maurice Ashley , Shenyu Xu , College Of Computing , Georgia Institute Of Technology , Financial Services , Boston Consulting Group Global Asset Management , Stanford University , Angele Paris , General Manager , Mordor Intelligence , Boston Consulting Group , Global Asset Management Report , Georgia Institute , Group Managing Director , Global Head , Smart Technologies , Advanced Analytics , Global Wealth Management , Chess Grandmaster Maurice Ashley ,

| College of Computing

Srijan Kumar [Assistant Professor, CSE, Georgia Institute of Technology]
Diyi Yang [Assistant Professor, CSE, Georgia Institute of Technology]

Abstract
As society and technology becomes increasingly interconnected, so does the threat landscape. Once isolated threats now pose serious concerns to highly interdependent systems, highlighting the fundamental need for robust machine learning. This dissertation contributes novel tools, algorithms, databases and models through the lens of robust machine learning in a research effort to solve large-scale societal problems affecting millions of people in the areas of cybersecurity and healthcare.
1. Tools: We develop TIGER, the first comprehensive graph robustness toolbox; and our Robustness Survey identifies critical yet missing areas of graph robustness research. ....

Georgia Institute Of Technology , United States , Diyi Yang , Srijan Kumar , Scott Freitas , Duen Horng Polo Chau , School Of Computational Science , Georgia Tech , Developing Robust Models , Computational Science , Robustness Survey , ஜார்ஜியா நிறுவனம் ஆஃப் தொழில்நுட்பம் , ஒன்றுபட்டது மாநிலங்களில் , ஸ்ரீஜன் குமார் , பள்ளி ஆஃப் கணக்கீட்டு அறிவியல் , ஜார்ஜியா தொழில்நுட்பம் , கணக்கீட்டு அறிவியல் ,