Ushering Machines into the World of Human Knowledge

Prof. Danqi Chen stands at the intersection of machine learning and everyday language, and she is paving a fast lane toward a long-sought goal: opening the full expanse of human knowledge to computers that can think like people do — or maybe better.

A Statistical Search for Genomic Truths

Professor Barbara Engelhardt develops machine-learning models and methods to scour human genomes for the elusive causes and mechanisms of disease.

Making Smart Machines Fair

Prof. Olga Russakovsky, who joined Princeton's faculty in 2017, seeks to advance what she calls "humanistic AI, or AI for social good," by designing machine learning systems explicitly to avoid human mistakes and solve human problems.

Mind the Gap: Bridging the Computer-Human Divide

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Teaching Machines to Learn by Themselves

Hazan, who joined the Computer Science Department in 2015 and became a full professor in 2016, focuses on enabling machines to learn—to teach themselves, so to speak—a core aspect of artificial intelligence.

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Princeton’s AI4ALL summer program aims to bring young people from underrepresented groups into the growing field of artificial intelligence (AI). During a three-week residential camp, rising 11th-graders explore AI applications such as smart speakers and home appliances — including the gadgets’ security vulnerabilities.