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?
The health care industry is increasingly relying on AI – in responding to patient queries, for example – and a new Cornell study shows how decision-makers can use real-world data to build sustainability into new systems.
A new innovation from Cornell researchers lowers the energy use needed to power artificial intelligence – a step toward shrinking the carbon footprints of data centers and AI infrastructure.
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.
The development of the robot is critical as managing such diseases as powdery and downy mildews in vineyards is the top concern for grape growers and viticulturists.
