It's the chilling plot line to every science fiction movie about robots in the future: Once they start thinking for themselves, humanity is doomed. Think of the HAL 9000 in "2001: A Space Odyssey," or the replicants in "Blade Runner," or the hosts in "Westworld." These days the Pentagon is doing a lot of thinking about the nascent scientific field of artificial intelligence, also known as "machine learning," developing computer algorithms that will allow cars to drive themselves, robots to perform surgery, and even weapons to kill autonomously. The race to master artificial intelligence is the No. 1 priority of the Defense Advanced Research Projects Agency, the tiny organization with just over 200 workers that was instrumental in developing stealth technology, high precision weapons, and the Internet. "In reality, over about the last 50 years, DARPA and its research partners have led the way to establishing the field of artificial intelligence. We are not new to this game," said DARPA Director Steven Walker at the agency's 60th anniversary symposium in September.

WASHINGTON – Artificial intelligence and its impact on weapons of the future has made U.S. Defense Secretary Jim Mattis doubt his own theories on warfare. A question on the subject prompted the retired Marine general to give an impromptu seminar on his theory of war Saturday to reporters returning with him from a week-long tour of Europe. Recalling his own writings, he differentiated between the essential nature of war, which is unchanging because it is human, and war's character, which is changing. "The fundamental nature of war is almost like H2O," he said. An old dead German called it a Chameleon because it changes to adapt to its time, to the technology, to the terrain," he said, referring to the 19th century military strategist Carl von Clausewitz. Mattis explained that today drones are piloted remotely, but tomorrow weapons may be able to learn on their own, adapt and fire themselves. "The most misnamed weapon in our system is the unmanned aerial vehicle.

Artificial intelligence and its impact on weapons of the future has made US Defense Secretary Jim Mattis doubt his own theories on warfare. A question on the subject prompted the retired Marine general to give an impromptu seminar on his theory of war Saturday to reporters returning with him from a week-long tour of Europe. Recalling his own writings, he differentiated between the essential nature of war, which is unchanging because it is human, and war's character, which is changing. "The fundamental nature of war is almost like H2O," he said. An old dead German called it a Chameleon because it changes to adapt to its time, to the technology, to the terrain," he said, referring to the 19th century military strategist Carl von Clausewitz. Mattis explained that today drones are piloted remotely, but tomorrow weapons may be able to learn on their own, adapt and fire themselves. "The most misnamed weapon in our system is the unmanned aerial vehicle.

Artificial intelligence and its impact on weapons of the future has made US Defense Secretary Jim Mattis doubt his own theories on warfare. A question on the subject prompted the retired Marine general to give an impromptu seminar on his theory of war Saturday to reporters returning with him from a week-long tour of Europe. Recalling his own writings, he differentiated between the essential nature of war, which is unchanging because it is human, and war's character, which is changing. "The fundamental nature of war is almost like H2O," he said. An old dead German called it a Chameleon because it changes to adapt to its time, to the technology, to the terrain," he said, referring to the 19th century military strategist Carl von Clausewitz. Mattis explained that today drones are piloted remotely, but tomorrow weapons may be able to learn on their own, adapt and fire themselves. "The most misnamed weapon in our system is the unmanned aerial vehicle.

We have constructed this page in order to sketch how AI is linked to various other disciplines, in both the sciences and humanities. We have done this not only in the hope of helping students and others who are just starting to study AI but also of facilitating further interactions between the AI community and other communities. The set of links is not exhaustive, nor is the explanation given for each individual link. In particular, we do not include all disciplines that do or could use AI tools and/or contribute tools to AI. We concentrate rather on disciplines where there is profound interaction in terms of research ideas.