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.
Cornell University has been awarded a portion of a $2 million planning initiative from the U.S. National Science Foundation to establish AI4Ag, a national testbed for artificial intelligence in agriculture.
The Center for Teaching Innovation will host “What Works,” on Oct. 1, featuring presentations, the Canvas Course Spotlight awardees, and a poster showcase that will demonstrate engaged learning approaches from Cornell faculty teaching in a diverse range of courses and fields.
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?
Students who plan to use ChatGPT to write their college admissions essays should think twice: Artificial intelligence tools write highly generic personal narratives, even when prompted to write from the perspective of someone with a certain race or gender.
