Shane Shaneman, el director estrat\u00e9gico de seguridad nacional y defensa de la Universidad Carnegie Mellon trabaj\u00f3 para el DoD y recientemente en el Air Force Research Lab. Ahora como nuevo integrante de la Universidad de Carnegie Mellon contin\u00faa su actividad en el \u00e1rea de defensa. En particular, en esta entrevista de la NDIA (National Defense Industrial Association ) da su visi\u00f3n particular sobre los acelerados avances de la Inteligencia Artificial y su aplicaci\u00f3n en la Defensa.<\/p>\n
The National Defense Industrial Association recently tapped Shane Shaneman, the strategic director of national security and defense at Carnegie Mellon University, to be its new senior fellow for artificial intelligence. He spoke with <\/em>National Defense to discuss his thoughts on AI and his goals as senior fellow. Shaneman\u2019s views are his and not necessarily the views of Carnegie Mellon. This interview has been edited for length, brevity and clarity.<\/em><\/p>\n How and when did you start working on artificial intelligence technologies? It really started when I transitioned from the Air Force Research Lab into Carnegie Mellon back in the summer of 2016. … The role that I was playing for the Air Force Research Lab was basically helping to connect some of their research within cross-domain solutions to the operational community and the combatant commands.<\/p>\n Later, I learned more about the opportunity with Carnegie Mellon and, given the pace of innovation that was occurring with machine learning and artificial intelligence, I saw the immediate linkage that is going to be needed to be able to turn around and leverage those technologies, to both enhance our national security as well as to maintain our technological superiority.<\/p>\n Since you joined Carnegie Mellon, how have you seen AI transform? It\u2019s been fairly tremendous. \u2026 With some of the current advances that have taken place in parallelization, machine learning is now 100 times faster than it was just two years ago. And you\u2019ve seen continued evolutions of both the algorithms and the framework and also new styles of machine learning. Of course, going from both the traditional supervised learning into new areas of both unsupervised as well as reinforcement learning.<\/p>\n At Carnegie Mellon, what does your portfolio look like? My current focus is basically to help link up researchers with requirements across national security and defense and to maximize the value and impact that they have for the United States.<\/p>\n As it relates to defense and national security, what is the promise of AI? One of the first and key areas that we\u2019re focused on is how it can augment the warfighters. … If you look at tasks that require very tremendous and tedious focus and involvement from human operators, the ability to \u2026 use machine learning and AI as a means to turn around and automate some of those functions and provide additional insights to the warfighter to aid decision making, or to enable them to actually shift what they\u2019re spending their time on to something that\u2019s higher value or more strategically important.<\/p>\n What are the biggest issues that are slowing down innovation in AI development? There are cultural changes that we have to look at \u2026 such as the concept of algorithmic agility \u2014 the algorithms are going to continue to evolve. So, this is going to be an ongoing process of how do we look at the newest algorithms and integrate them \u2014 not once or twice a year, but really getting to a point where almost we\u2019re doing that multiple times a day.<\/p>\n Algorithmic agility \u2026 is not just getting an algorithm and implementing it and going, \u201cOh, we\u2019re done.\u201d This is going to be something that becomes part of our culture.<\/p>\n Do you think the Defense Department is doing enough with industry and academia to better leverage artificial intelligence? I\u2019ve been involved with the Department of Defense since I graduated out of ROTC back in the early \u201890s, and I\u2019m seeing the Department of Defense do some things that are truly very, very innovative through the Defense Innovation Unit, the Defense Digital Service and things that have been stood up to look at how do we basically evolve and embrace innovation as part of our overall processes and procedures.<\/p>\n The challenge that I think that we\u2019re going to see is how do we innovate for impact and how do we turn around and look at transitioning [AI technology]. \u2026 We\u2019re definitely putting a large focus on operational prototyping, but we have to be able to convert those and sustain those as part of our programs of record. And that really becomes hard because if you think about it, even though we \u2026 began focusing on software engineering back in the \u201880s and \u201890s, we\u2019re just now getting used to \u2014 from an acquisition and sustainment standpoint \u2014 being able to separate out systems as hardware and software and the different processes that we go through with that. But now the world\u2019s changed again and it is no longer just hardware and software, it is hardware, software, data and algorithms.<\/p>\n What are some of your goals as NDIA\u2019s AI senior fellow? The senior fellow role is really looking at \u2026 from a strategic level \u2026 what are those major changes in areas that we need to drive and influence, especially from a policy standpoint?<\/p>\n One of the key areas that we\u2019re looking at is how do we take some of the areas that NDIA has been very, very successful in \u2014 and I\u2019ll highlight the Special Operations Forces Industry Conference and the impact and the role that it plays for the special operations community \u2014 and leverage a similar type of an approach around artificial intelligence for the Department of Defense and contribute to the mission \u2014 whether it\u2019s the Joint AI Center or the DoD writ large.<\/p>\n Another area is looking at this concept of crafting the new \u201cArsenal of Democracy\u201d as we look at artificial intelligence, and that\u2019s a very nebulous concept of we\u2019ve got tons of startups and entrepreneurs that are coming into the area \u2014 how do we tap into all of that capability and entice them as part of the defense industrial base? \u2026 We\u2019ve got to understand that this is not the 1940s and \u201850s, that this is a global marketplace.<\/p>\n
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