• C. Anthony Pfaff and Christopher J. Lowrance – Trusting AI: Integrating Artificial Intelligence into the Army’s Professional Expert Knowledge

  • 2023/06/22
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C. Anthony Pfaff and Christopher J. Lowrance – Trusting AI: Integrating Artificial Intelligence into the Army’s Professional Expert Knowledge

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  • C. Anthony Pfaff and Christopher J. Lowrance – Trusting AI: Integrating Artificial Intelligence into the Army’s Professional Expert Knowledge Integrating artificially intelligent technologies for military purposes poses a special challenge. In previous arms races, such as the race to atomic bomb technology during World War II, expertise resided within the Department of Defense. But in the artificial intelligence (AI) arms race, expertise dwells mostly within industry and academia. Also, unlike the development of the bomb, effective employment of AI technology cannot be relegated to a few specialists; almost everyone will have to develop some level of AI and data literacy. Complicating matters is AI-driven systems can be a “black box” in that humans may not be able to explain some output, much less be held accountable for its consequences. This inability to explain coupled with the cession to a machine of some functions normally performed by humans risks the relinquishment of some jurisdiction and, consequently, autonomy to those outside the profession. Ceding jurisdiction could impact the American people’s trust in their military and, thus, its professional standing. To avoid these outcomes, creating and maintaining trust requires integrating knowledge of AI and data science into the military’s professional expertise. This knowledge covers both AI technology and how its use impacts command responsibility; talent management; governance; and the military’s relationship with the US government, the private sector, and society. Read the monograph here. Email usarmy.carlisle.awc.mbx.parameters@army.mil to give feedback on this podcast. Keywords: artificial intelligence (AI), data science, lethal targeting, professional expert knowledge, talent management, ethical AI, civil-military relations Episode transcript: Trusting AI: Integrating Artificial Intelligence into the Army's Professional Expert Knowledge  Stephanie Crider (Host)  You're listening to Conversations on Strategy. The views and opinions expressed in this podcast are those of the authors and are not necessarily those of the Department of the Army, the US Army War College, or any other agency of the US government.   Joining me today are Doctor C. Anthony Pfaff and Colonel Christopher J. Lowrance, coauthors of Trusting AI: Integrating Artificial Intelligence into the Army's Professional Expert Knowledge with Brie Washburn and Brett Carey.   Pfaff, a retired US Army colonel, is the research professor for strategy, the military profession, and ethics at the US Army War College Strategic Studies Institute and a senior nonresident fellow at the Atlantic Council.   Colonel Christopher J. Lowrance is the chief autonomous systems engineer at the US Army Artificial Intelligence Integration Center.   Your monograph notes that AI literacy is critical to future military readiness. Give us your working definition of AI literacy, please.  Dr.  C. Anthony Pfaff  AI literacy is more aimed at our human operators (and that means commanders and staffs, as well as, you know, the operators themselves) able to employ these systems in a way that not only we can optimize the advantage these systems promise but also be accountable for their output. That requires knowing things about how data is properly curated. It will include knowing things about how algorithms work, but, of course, not everyone can become an AI engineer. So, we have to kind of figure out at whatever level, given whatever tasks you have, what do you need to know for these kinds of operations to be intelligent?  Col. Christopher J. Lowrance  I think a big part of it is going to be also educating the workforce. And that goes all the way from senior leaders down to the users of the systems. And so, a critical part of it is understanding how best AI-enabled systems can fit in, their appropriate roles that they can play, and how best they can team or augment soldiers as they compl...
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C. Anthony Pfaff and Christopher J. Lowrance – Trusting AI: Integrating Artificial Intelligence into the Army’s Professional Expert Knowledge Integrating artificially intelligent technologies for military purposes poses a special challenge. In previous arms races, such as the race to atomic bomb technology during World War II, expertise resided within the Department of Defense. But in the artificial intelligence (AI) arms race, expertise dwells mostly within industry and academia. Also, unlike the development of the bomb, effective employment of AI technology cannot be relegated to a few specialists; almost everyone will have to develop some level of AI and data literacy. Complicating matters is AI-driven systems can be a “black box” in that humans may not be able to explain some output, much less be held accountable for its consequences. This inability to explain coupled with the cession to a machine of some functions normally performed by humans risks the relinquishment of some jurisdiction and, consequently, autonomy to those outside the profession. Ceding jurisdiction could impact the American people’s trust in their military and, thus, its professional standing. To avoid these outcomes, creating and maintaining trust requires integrating knowledge of AI and data science into the military’s professional expertise. This knowledge covers both AI technology and how its use impacts command responsibility; talent management; governance; and the military’s relationship with the US government, the private sector, and society. Read the monograph here. Email usarmy.carlisle.awc.mbx.parameters@army.mil to give feedback on this podcast. Keywords: artificial intelligence (AI), data science, lethal targeting, professional expert knowledge, talent management, ethical AI, civil-military relations Episode transcript: Trusting AI: Integrating Artificial Intelligence into the Army's Professional Expert Knowledge  Stephanie Crider (Host)  You're listening to Conversations on Strategy. The views and opinions expressed in this podcast are those of the authors and are not necessarily those of the Department of the Army, the US Army War College, or any other agency of the US government.   Joining me today are Doctor C. Anthony Pfaff and Colonel Christopher J. Lowrance, coauthors of Trusting AI: Integrating Artificial Intelligence into the Army's Professional Expert Knowledge with Brie Washburn and Brett Carey.   Pfaff, a retired US Army colonel, is the research professor for strategy, the military profession, and ethics at the US Army War College Strategic Studies Institute and a senior nonresident fellow at the Atlantic Council.   Colonel Christopher J. Lowrance is the chief autonomous systems engineer at the US Army Artificial Intelligence Integration Center.   Your monograph notes that AI literacy is critical to future military readiness. Give us your working definition of AI literacy, please.  Dr.  C. Anthony Pfaff  AI literacy is more aimed at our human operators (and that means commanders and staffs, as well as, you know, the operators themselves) able to employ these systems in a way that not only we can optimize the advantage these systems promise but also be accountable for their output. That requires knowing things about how data is properly curated. It will include knowing things about how algorithms work, but, of course, not everyone can become an AI engineer. So, we have to kind of figure out at whatever level, given whatever tasks you have, what do you need to know for these kinds of operations to be intelligent?  Col. Christopher J. Lowrance  I think a big part of it is going to be also educating the workforce. And that goes all the way from senior leaders down to the users of the systems. And so, a critical part of it is understanding how best AI-enabled systems can fit in, their appropriate roles that they can play, and how best they can team or augment soldiers as they compl...
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