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Do Not Sell My Personal Information When you visit our website, we store cookies on your browser to collect information. The information collected might relate to you, your preferences or your device, and is mostly used to make the site work as you expect it to and to provide a more personalized web experience. However, you can choose not to allow certain types of cookies, which may impact your experience of the site and the services we are able to offer. Click on the different category headings to find out more and change our default settings...

How the U.S. Government Can Learn to See the Future Editor’s Note: Intelligence assessments are made under tremendous time pressure with imperfect information, so it is no surprise that they are often wrong. They can be better, but the intelligence community often fails to use the best analytic techniques. Julia Ciocca, Michael C. Horowitz, Lauren Kahn and Christian Ruhl of Perry World House at the University of Pennsylvania explain the current deficiencies in assessment techniques and argue that rigorous probabilistic forecasting, keeping score of assessments, and employing the “wis...

In 1983, the U.S. military’s research and development arm began a ten-year, $1 billion machine intelligence program aimed at keeping the United States ahead of its technological rivals. From the start, computer scientists criticized the project as unrealistic. It promised big and ultimately failed hard in the eyes of the Pentagon, ushering in a long artificial intelligence (AI) “winter” during which potential funders, including the U.S. military, shied away from big investments in the field and abandoned promising areas of research. Today, AI is once again the darling of the national se...