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.

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On Campus

Faculty working in this area:

Last Firstsort descending Title Email
Rudnicky Alexander Emeritus Faculty
Moore Andrew Professor and Dean
Datta Anupam Associate Professor, CSD, ECE
Gupta Anupam Professor
Procaccia Ariel Associate Professor
Blum Avrim Faculty
Faloutsos Christos Professor
Sleator Daniel Professor
Siewiorek Daniel Buhl University Professor of Electrical And Computer Engineering And Computer Science; Faculty
Touretzky David Research Professor
Woodruff David Associate Professor
Xing Eric P. Professor
Fink Eugene Senior Systems Scientist
Wactlar Howard Alumni Research Professor
Carbonell Jaime Director LTI; Newell University Professor
Morris James Professor
Yang Jean Assistant Professor
Hodgins Jessica Professor
Veloso Manuela M. Department Head for Machine Learning & Herbert A. Simon University Professor of Computer Science
Mason Matthew Professor, Computer Science and Robotics
Erdmann Michael Professor, Computer Science and Robotics
Pollard Nancy Associate Professor
Shah Nihar Bhadresh Assistant Professor
Balcan Nina Associate Professor
Reddy Raj Moza Bint Nasser University Professor
Simmons Reid Research Professor
Dannenberg Roger Professor
Maxion Roy Research Professor
Schwartz Russell Professor
Fahlman Scott Emeritus Faculty
Goldstein Seth Associate Professor
Lee Tai-Sing Professor
Mitchell Tom E. Fredkin University Professor; Faculty
Sandholm Tuomas Professor
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