The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by Cornell Tech researchers successfully teased out names, medical diagnoses and financial information from encoded datasets.
The panel, “AI + Education: Teaching and Learning in the Age of AI,” held during the 75th Trustee-Council Annual Meeting, painted a complete picture of the state of AI in education at Cornell.
Artificial intelligence is everywhere, from the apps people use to the systems that shape hiring decisions and healthcare. But what happens when these tools don’t work equally well for everyone? That question drives the research of Allison Koenecke, a new assistant professor of information science at Cornell Tech.
Tianyi Chen is pushing the boundaries of artificial intelligence by asking a pressing question: What if AI could be engineered not just to optimize for a single outcome, but to make smarter, more balanced decisions — much like humans do?
A Cornell research team has introduced a new method that helps machines make connections between what’s on the ground and how it represented on a map – an advance that could improve robotics, navigation systems and 3D modeling.
The eighth annual Celebration of Statistics and Data Science features nine speakers and celebrates Cornell’s rich history in statistics, data science, and mathematics.
As generative AI reshapes how we communicate, work, and make decisions, Angelina Wang is making sure these systems serve everyone — not just a privileged few.