Artificial Intelligence

Carnegie Mellon has been a leader in Artificial Intelligence (AI) research since Herbert Simon and Allen Newell invented the field in the 1950s. Since then, AI has evolved to address problems of probabilistic and numeric nature, leading to the incorporation of approaches from mathematics, engineering, operations research and economics. 

Our researchers scientifically build upon each others’ work, and research from other disciplines, creating analytical and highly systematic experimental work. The resulting AI systems can deal with uncertainty — both in an objective sense and in the sense that arises in those AI applications that include non-trivial perception.

Carnegie Mellon Poker AIThe explosion of computerized information on the Internet, in data warehouses, and from physical sensory artifacts has also created large-scale problems for AI research. Carnegie Mellon has been at the forefront of that progress, with pioneering innovations in intelligent digital libraries, data representations and algorithms, market clearing technologies, and complex task-embedded robotic applications. Carnegie Mellon faculty are recognized for their leadership in expanding beyond monolithic AI to multiagent systems, where the key challenge is the intelligent interaction of multiple parties. Finally, Carnegie Mellon faculty have led AI from the abstract (“Can one build a thinking machine?”) to a host of concrete applications and techniques that are significantly improving the world.

Machines are Getting Schooled on Fairness

CMU to Harness Power of Collaboration to Advance Artificial Intelligence

CMU creates new initiative to become leader in artificial intelligence 

Carnegie Mellon Launches Artificial Intelligence Initiative

Carnegie Mellon Solidifies Leadership Role in Artificial Intelligence

Carnegie Mellon Artificial Intelligence Takes on Chinese Poker Players

Apple Just Hired this Artificial Intelligence Expert

On Campus

Faculty working in this area:

Last First Title Emailsort descending
Gupta Anupam Professor anupamg@cs.cmu.edu
Rudnicky Alexander Emeritus Faculty ar28@andrew.cmu.edu
Procaccia Ariel Associate Professor arielpro@cs.cmu.edu
Blum Avrim Faculty avrim@cs.cmu.edu
Moore Andrew Professor and Dean awm@cs.cmu.edu
Faloutsos Christos Professor christos@cs.cmu.edu
Datta Anupam Associate Professor, CSD, ECE danupam@andrew.cmu.edu
Siewiorek Daniel Buhl University Professor of Electrical And Computer Engineering And Computer Science; Faculty dps@cs.cmu.edu
Touretzky David Research Professor dst@cs.cmu.edu
Woodruff David Associate Professor dwoodruf@cs.cmu.edu
Xing Eric P. Professor epxing@cs.cmu.edu
Fink Eugene Senior Systems Scientist eugenefink@cmu.edu
Wactlar Howard Alumni Research Professor hdw@cs.cmu.edu
Carbonell Jaime Director LTI; Newell University Professor jgc@cs.cmu.edu
Morris James Professor jhm@cs.cmu.edu
Hodgins Jessica Professor jkh@cs.cmu.edu
Yang Jean Assistant Professor jyang2@andrew.cmu.edu
Mason Matthew Professor, Computer Science and Robotics matt.mason@cs.cmu.edu
Maxion Roy Research Professor maxion@cs.cmu.edu
Erdmann Michael Professor, Computer Science and Robotics me@cs.cmu.edu
Mitchell Tom E. Fredkin University Professor; Faculty mitchell@cs.cmu.edu
Shah Nihar Bhadresh Assistant Professor nihars@cs.cmu.edu
Balcan Nina Associate Professor ninamf@cs.cmu.edu
Pollard Nancy Associate Professor nsp@cs.cmu.edu
Dannenberg Roger Professor rbd@cs.cmu.edu
Reddy Raj Moza Bint Nasser University Professor reddy@cs.cmu.edu
Simmons Reid Research Professor reids@cs.cmu.edu
Schwartz Russell Professor russells@andrew.cmu.edu
Sandholm Tuomas Professor sandholm@cs.cmu.edu
Fahlman Scott Emeritus Faculty sef@cs.cmu.edu
Goldstein Seth Associate Professor seth@cs.cmu.edu
Sleator Daniel Professor sleator@cs.cmu.edu
Lee Tai-Sing Professor tai@cs.cmu.edu
Veloso Manuela M. Department Head for Machine Learning & Herbert A. Simon University Professor of Computer Science veloso@cmu.edu
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