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Raven Sentry: Employing Ai For Indications And Warnings In Afghanistan, Thomas W. Spahr
Raven Sentry: Employing Ai For Indications And Warnings In Afghanistan, Thomas W. Spahr
The US Army War College Quarterly: Parameters
This article examines Raven Sentry, a project that employed artificial intelligence to provide advance warning of insurgent attacks in Afghanistan. During 2019 and 2020, the Resolute Support Deputy Chief of Staff for Intelligence (J2) benefited from a command culture open to innovation, the urgency created by the US drawdown, and a uniquely talented group of personnel that, aided by commercial sector experts, built an AI system that helped predict attacks. The war’s end cut Raven Sentry short, but the experience provides important lessons on AI and the conditions necessary for successful innovation.
From The Editor In Chief, Antulio J. Echevarria Ii
From The Editor In Chief, Antulio J. Echevarria Ii
The US Army War College Quarterly: Parameters
Welcome to the Summer 2024 issue of Parameters. We open this issue with a special “In Memoriam” by General Charles A. Flynn, Commander US Army Pacific, honoring the life and legacies of our director and consummate colleague, Carol V. Evans. We dedicate this issue to her. General Flynn’s memoriam is followed by an In Focus commentary on China’s Belt and Road Initiative. We then feature three forums covering the Russia-Ukraine War, the Middle East, and Professional Development. This issue also contains special essays on the role of professional writing, the US Army War College’s Civil-Military Relations Center, …
How Can Law Enforcement Use Technology To Protect Citizens Justly?, Zach Kantenwein
How Can Law Enforcement Use Technology To Protect Citizens Justly?, Zach Kantenwein
Emerging Writers
This paper explores the danger of emerging artificial intelligence technology perpetuating racial injustice in law enforcement and how police can ensure the protection of citizens amid this information age. We dissect a real-world case in which AI predictive policing technology resulted in alarming racial discrimination against American minority citizens. We discuss the possible explanations for this result and explore the limitations of artificial intelligence technology. Furthermore, we brainstorm methods for ensuring American citizens' just and constitutional protection as new technology is developed and tested. We propose implementing transparency laws that make the details about any policing technology and surveillance available …
Putin’S Invasion Of Ukraine In 2022: Implications For Strategic Studies, Antulio J. Echevarria Ii
Putin’S Invasion Of Ukraine In 2022: Implications For Strategic Studies, Antulio J. Echevarria Ii
The US Army War College Quarterly: Parameters
This special commentary examines critical issues for the field of strategic studies raised by Russia’s invasion of Ukraine, including the waning of major war, strategic coercion, and “War Amongst the People.” Drawing on previous scholarship and current events, this commentary considers the questions raised by the first major war of the twenty-first century. It provides recommendations for scholars and senior leaders on how to work together to address the questions of strategy and policy that have and continue to arise as the war progresses.
Moving From Harm Mitigation To Affirmative Discrimination Mitigation: The Untapped Potential Of Artificial Intelligence To Fight School Segregation And Other Forms Of Racial Discrimination, Andrew Gall
Catholic University Journal of Law and Technology
No abstract provided.
Biographical Data And Black Box Empiricism: Lessons Learned For Algorithmic Assessments In Personnel Selection, Ketaki Sodhi, Marc Cubrich
Biographical Data And Black Box Empiricism: Lessons Learned For Algorithmic Assessments In Personnel Selection, Ketaki Sodhi, Marc Cubrich
Psychology from the Margins
As the popularity of biodata in selection assessments grew in the 1980s and into the 1990s, the field of industrial and organizational psychology witnessed many attempts to develop biodata theories and guide the development of biodata items. The insights that emerged from this body of research are increasingly relevant in the current era of big data, artificial intelligence (AI), and machine learning. More than ever, AI and machine learning are being used to score candidates and make hiring recommendations. Many organizations are using data-driven approaches to develop machine learning and AI algorithms, which are frequently atheoretical, based on correlations or …
Will War's Nature Change In The Seventh Military Revolution?, F. G. Hoffman
Will War's Nature Change In The Seventh Military Revolution?, F. G. Hoffman
The US Army War College Quarterly: Parameters
This article examines the potential implications of the combinations of robotics, artificial intelligence, and deep learning systems on the character and nature of war. The author employs Carl von Clausewitz’s trinity concept to discuss how autonomous weapons will impact the essential elements of war. The essay argues war’s essence, as politically directed violence fraught with friction, will remain its most enduring aspect, even if more intelligent machines are involved at every level.
Navigating The Third Offset Strategy, Damon V. Coletta
Navigating The Third Offset Strategy, Damon V. Coletta
The US Army War College Quarterly: Parameters
This article suggests adding a “craftsman” at lower ranks to steer private-sector projects through the Third Offset Strategy. This strategy was established by experienced leadership at the Pentagon to increase military acquisitions of automation and artificial intelligence technology.