Expertise

Topics:  Green AI, Natural Language Processing (NLP), Machine Learning, Artificiial Intelligence

Industries: Education/Learning

Emma Strubell is an Assistant Professor at Carnegie Mellon University's Language Technologies Institute (LTI). Their research lies at the intersection of natural language processing (NLP) and machine learning, and their broad research objective is bridging the gap between state-of-the-art NLP methods, and the wide variety of users who stand to benefit from that technology, but for whom that technology does not yet work in practice.

Their work has been recognized with a Madrona AI Impact Award, best paper awards at ACL and EMNLP, and in 2024 they were named one of the most powerful people in AI by Business Insider.

Media Experience

Emma Strubell | AI Power List  — Business Insider
In front of a whiteboard from a classroom at Carnegie Mellon University, Strubell explains the Jevons effect, in which the gains from increased efficiency of a technological tool could be negated as use increases. The concept has come into focus as the conversation shifts to efficiency, AI, and the environment. Though they are a proponent for the advancement of AI, Strubell told Business Insider. "GenAI training is a nightmare for energy providers." Their work as an assistant professor at Carnegie Mellon's Language Technologies Institute asks students and researchers to examine the systems that power AI to discover more efficient and environmentally friendly raw materials that power AI.

Greater, newer AI models come with environmental impacts  — Marketplace
Emma Strubell of Carnegie Mellon University explains why carbon emissions increase with more AI data centers and more powerful AI features.

An AI's Carbon Footprint Is 5 Times Bigger Than a Car's  — Popular Mechanics
The act of training a neural network, according to the study led by Emma Strubell of the University of Massachusetts Amherst, creates a carbon dioxide footprint of 284 tonnes—five times the lifetime emissions of an average car.