Understanding artificial intelligence and how it relates to national security issues has become a top priority for military and government leaders in recent years. His new three-day custom program, titled “Artificial Intelligence for National Security Leaders” (AI4NSL for short), explores the fundamentals of AI, machine learning, data science and how these topics intersect. It is intended to educate leaders who do not have a technical background in with national security.
“National security is basically two things: getting information from sensors and processing that information. AI is good at these two things. of leaders to navigate the benefits and opportunities presented by AI, as well as its potential negative impacts,” said Cadence Design Systems Professor at MIT and faculty member of the course. said Alexander Madry, one of the
Co-organized by the MIT School of Engineering, MIT Stephen A. Schwartzman College of Computing, and MIT Sloan Executive Education, AI4NSL completed its fifth cohort in April. The course brings together leaders from various branches of the U.S. military, as well as foreign military leaders from NATO, at his MIT campus, where he teaches a variety of technical topics in AI and how to address organizational challenges. Learn from the experts in arises in this context.
“We organized real executive education classes on AI for senior national security leaders,” Madry says. “For three days, we are teaching these leaders not only to understand what this technology is, but also how to best implement these technologies in their organizations.”
The original idea came out of discussions in 2019 with senior leaders of the United States Air Force (USAF) and members of the Department of the Air Force (DAF) and the MIT AI Accelerator.
In recent years, national security leaders need a better understanding of AI technology and its impact on security, warfare and military operations, according to Major John Rudvan, Deputy Director of the DAF-MIT AI Accelerator. became clear. In February 2020, Radovan and his team at DAF-MIT AI Accelerator began building a custom his course to help senior leaders discuss AI.
“This is the only course that specifically focuses on AI for national security,” says Radovan. “We didn’t want this course to be just for Air Force personnel, it had to be for all branches of the military. You have to have the same vocabulary and the same mental model.”
After a pilot program working with MIT Open Learning and the MIT Computer Science and Artificial Intelligence Laboratory, Radovan worked with faculty from engineering departments, including Madrid, and the MIT Schwartzman University of Computing to refine the course curriculum. With the help of colleagues and faculty at MIT Sloan Executive Education, they refined the course curriculum and provided content tailored to the audience. This inter-school collaboration resulted in a new version of his AI4NSL that was launched last summer.
In addition to providing participants with a basic overview of AI technology, this course will focus on organizational planning and implementation.
“What we wanted to do was create smart consumers at the command level. The idea was to help guide how we think about hiring,” said Roberto Fernandez, William F. Pounds professor of business administration. Instructor of AI4NSL, and faculty director of other courses.
The three-day course covers a wide range of topics with instructors from MIT’s Department of Electrical Engineering and Computer Science, Department of Aerospace, and MIT Sloan School of Management.
The first half of the course begins with a basic overview of concepts such as AI, machine learning, deep learning, and the role of data. Instructors will also discuss the pain points and pitfalls of using AI technology, including the potential for hostile manipulation of machine learning systems, privacy issues, and ethical considerations.
Midway through the second day, the course shifts to considering organizational perspectives, encouraging participants to consider how to effectively implement these technologies in their units.
“The interesting thing about this course is that it is structured first from the perspective of understanding AI, machine learning, what data is, and how data is fed into AI, and then participants are encouraged to work through their own units. This is a job,” says Col. Michel Goyette, director of the Army Strategic Education Program at the War College and an AI4NSL participant.
Throughout the course, breakout sessions give participants the opportunity to collaborate on exercises and solve problems. These breakout sessions build on each other as participants are exposed to new concepts related to her AI.
“A breakout session is characterized by the need to build relationships with people you do not know, so the networking aspect is important. , that really enhances the learning environment,” says Lt. Gen. Brian Robinson, commander of the USAF Air Education and Training Command and AI4NSL participant. .
This spirit of teamwork, collaboration, and bringing people from diverse backgrounds together permeates the three-day program. The AI4NSL classroom not only attracts national security leaders from all branches of the military, but also faculty from his three schools within MIT.
“One of the most interesting things about the program is that it has an overarching theme of collaboration,” says Rob Dietel, executive program director at the Sloan School of Management. “We don’t just bring together faculty from MIT Sloan, we bring together the best faculty from the Schwartzman College of Computing and the School of Engineering. It’s great to be able to make it the most impactful program possible.”
As new developments in generative AI and machine learning, such as ChatGPT, change the national security landscape, AI4NSL organizers continue to update the curriculum to help leaders understand the implications for each unit.
“Right now, the pace of change in AI and national security is so fast that it’s hard to keep up. That’s one of the reasons we designed this program. In addition, we have brought together world-class faculty from various departments at MIT,” adds Dietel.
