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Articles 1 - 30 of 53
Full-Text Articles in Law
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, …
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.
The Right To A Glass Box: Rethinking The Use Of Artificial Intelligence In Criminal Justice, Brandon L. Garrett, Cynthia Rudin
The Right To A Glass Box: Rethinking The Use Of Artificial Intelligence In Criminal Justice, Brandon L. Garrett, Cynthia Rudin
Faculty Scholarship
Artificial intelligence (“AI”) increasingly is used to make important decisions that affect individuals and society. As governments and corporations use AI more pervasively, one of the most troubling trends is that developers so often design it to be a “black box.” Designers create AI models too complex for people to understand or they conceal how AI functions. Policymakers and the public increasingly sound alarms about black box AI. A particularly pressing area of concern has been criminal cases, in which a person’s life, liberty, and public safety can be at stake. In the United States and globally, despite concerns that …
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 …
An Archival Exploration Of Lineup Fairness In Eyewitness Research, Phoebe Kane
An Archival Exploration Of Lineup Fairness In Eyewitness Research, Phoebe Kane
Student Theses
In this study, we were interested in investigating if the Betaface facial analysis program reliably predicts eyewitness lineup choosing behavior. If face analysis programs are as good or better than human judgements, using them could be a reliably more efficient, reproducible, and equitable basis for choosing fillers and evaluating lineup fairness. We collected 27 datasets from eyewitness researchers and analyzed them to produce Betaface similarity values, which measured the similarity between all the photos in each array. We compared these Betaface data to the identification data from the original studies. Our analysis of the arrays via Betaface yielded data with …
Generative Artificial Intelligence And Copyright Law, Christopher T. Zirpoli
Generative Artificial Intelligence And Copyright Law, Christopher T. Zirpoli
Copyright, Fair Use, Scholarly Communication, etc.
Recent innovations in artificial intelligence (AI) are raising new questions about how copyright law principles such as authorship, infringement, and fair use will apply to content created or used by AI. So-called “generative AI” computer programs—such as Open AI’s DALL-E 2 and ChatGPT programs, Stability AI’s Stable Diffusion program, and Midjourney’s self-titled program—are able to generate new images, texts, and other content (or “outputs”) in response to a user’s textual prompts (or “inputs”). These generative AI programs are “trained” to generate such works partly by exposing them to large quantities of existing works such as writings, photos, paintings, and other …
Regulating Machine Learning: The Challenge Of Heterogeneity, Cary Coglianese
Regulating Machine Learning: The Challenge Of Heterogeneity, Cary Coglianese
All Faculty Scholarship
Machine learning, or artificial intelligence, refers to a vast array of different algorithms that are being put to highly varied uses, including in transportation, medicine, social media, marketing, and many other settings. Not only do machine-learning algorithms vary widely across their types and uses, but they are evolving constantly. Even the same algorithm can perform quite differently over time as it is fed new data. Due to the staggering heterogeneity of these algorithms, multiple regulatory agencies will be needed to regulate the use of machine learning, each within their own discrete area of specialization. Even these specialized expert agencies, though, …
The Ambiguity In International Law And Its Effect On Drone Warfare And Cyber Security, Amina Khan
The Ambiguity In International Law And Its Effect On Drone Warfare And Cyber Security, Amina Khan
MA Major Research Papers
Drone warfare and artificial intelligence have considerably shaped cybersecurity and international law over the years. The rapid growth of technology has slowly forced entry into the international and domestic affairs of states. How countries conduct surveillance and practice defence does not look the way it did many years ago. One must observe how the rule of law is affected by technological advancement at the international level where many complexities are seen to rise to the surface. Balancing domestic and international law comes into question when drones and artificial intelligence become key components in state affairs that transcend geographical borders. This …
A Free Speech-Based Response To Media Polarization, R. George Wright
A Free Speech-Based Response To Media Polarization, R. George Wright
FIU Law Review
The degree of polarization, distrust, and animosity in the political elements of our social media have reached remarkable levels. But any attempt to address the relevant problems that requires legal enforcement inevitably raises serious issues of free speech and free press. Relying instead on fact checkers has its own numerous, substantial, and inevitable limitations, some of which parallel the very problems sought to be addressed. More promising are political social media reforms, akin to that proposed herein, that are voluntary, generally pluralistic and critical, reflective of the relevant social science evidence, and unlikely to raise problems of free speech and …
Artificial Intelligence And Contract Formation: Back To Contract As Bargain?, John Linarelli
Artificial Intelligence And Contract Formation: Back To Contract As Bargain?, John Linarelli
Book Chapters
Some say AI is advancing quickly. ChatGPT, Bard, Bing’s AI, LaMDA, and other recent advances are remarkable, but they are talkers not doers. Advances toward some kind of robust agency for AI is, however, coming. Humans and their law must prepare for it. This chapter addresses this preparation from the standpoint of contract law and contract practices. An AI agent that can participate as a contracting agent, in a philosophical or psychological sense, with humans in the formation of a con-tract will have to have the following properties: (1) AI will need the cognitive functions to act with intention and …
Content Moderation As Surveillance, Hannah Bloch-Wehba
Content Moderation As Surveillance, Hannah Bloch-Wehba
Faculty Scholarship
Technology platforms are the new governments, and content moderation is the new law, or so goes a common refrain. As platforms increasingly turn toward new, automated mechanisms of enforcing their rules, the apparent power of the private sector seems only to grow. Yet beneath the surface lies a web of complex relationships between public and private authorities that call into question whether platforms truly possess such unilateral power. Law enforcement and police are exerting influence over platform content rules, giving governments a louder voice in supposedly “private” decisions. At the same time, law enforcement avails itself of the affordances of …
The Role Of Data For Ai Startup Growth, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
The Role Of Data For Ai Startup Growth, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
Faculty Scholarship
Artificial intelligence (“AI”)-enabled products are expected to drive economic growth. Training data are important for firms developing AI-enabled products; without training data, firms cannot develop or refine their algorithms. This is particularly the case for AI startups developing new algorithms and products. However, there is no consensus in the literature on which aspects of training data are most important. Using unique survey data of AI startups, we find that startups with access to proprietary training data are more likely to acquire venture capital funding.
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 Toward Personalized Law, Cary Coglianese
Moving Toward Personalized Law, Cary Coglianese
All Faculty Scholarship
Rules operate as a tool of governance by making generalizations, thereby cutting down on government officials’ need to make individual determinations. But because they are generalizations, rules can result in inefficient or perverse outcomes due to their over- and under-inclusiveness. With the aid of advances in machine-learning algorithms, however, it is becoming increasingly possible to imagine governments shifting away from a predominant reliance on general rules and instead moving toward increased reliance on precise individual determinations—or on “personalized law,” to use the term Omri Ben-Shahar and Ariel Porat use in the title of their 2021 book. Among the various technological, …
Ethical Ai Development: Evidence From Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
Ethical Ai Development: Evidence From Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
Faculty Scholarship
Artificial Intelligence startups use training data as direct inputs in product development. These firms must balance numerous trade-offs between ethical issues and data access without substantive guidance from regulators or existing judicial precedence. We survey these startups to determine what actions they have taken to address these ethical issues and the consequences of those actions. We find that 58% of these startups have established a set of AI principles. Startups with data-sharing relationships with high-technology firms; that were impacted by privacy regulations; or with prior (non-seed) funding from institutional investors are more likely to establish ethical AI principles. Lastly, startups …
Algorithm Vs. Algorithm, Cary Coglianese, Alicia Lai
Algorithm Vs. Algorithm, Cary Coglianese, Alicia Lai
All Faculty Scholarship
Critics raise alarm bells about governmental use of digital algorithms, charging that they are too complex, inscrutable, and prone to bias. A realistic assessment of digital algorithms, though, must acknowledge that government is already driven by algorithms of arguably greater complexity and potential for abuse: the algorithms implicit in human decision-making. The human brain operates algorithmically through complex neural networks. And when humans make collective decisions, they operate via algorithms too—those reflected in legislative, judicial, and administrative processes. Yet these human algorithms undeniably fail and are far from transparent. On an individual level, human decision-making suffers from memory limitations, fatigue, …
From Negative To Positive Algorithm Rights, Cary Coglianese, Kat Hefter
From Negative To Positive Algorithm Rights, Cary Coglianese, Kat Hefter
All Faculty Scholarship
Artificial intelligence, or “AI,” is raising alarm bells. Advocates and scholars propose policies to constrain or even prohibit certain AI uses by governmental entities. These efforts to establish a negative right to be free from AI stem from an understandable motivation to protect the public from arbitrary, biased, or unjust applications of algorithms. This movement to enshrine protective rights follows a familiar pattern of suspicion that has accompanied the introduction of other technologies into governmental processes. Sometimes this initial suspicion of a new technology later transforms into widespread acceptance and even a demand for its use. In this paper, we …
Antitrust By Algorithm, Cary Coglianese, Alicia Lai
Antitrust By Algorithm, Cary Coglianese, Alicia Lai
All Faculty Scholarship
Technological innovation is changing private markets around the world. New advances in digital technology have created new opportunities for subtle and evasive forms of anticompetitive behavior by private firms. But some of these same technological advances could also help antitrust regulators improve their performance in detecting and responding to unlawful private conduct. We foresee that the growing digital complexity of the marketplace will necessitate that antitrust authorities increasingly rely on machine-learning algorithms to oversee market behavior. In making this transition, authorities will need to meet several key institutional challenges—building organizational capacity, avoiding legal pitfalls, and establishing public trust—to ensure successful …
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.
Regulating New Tech: Problems, Pathways, And People, Cary Coglianese
Regulating New Tech: Problems, Pathways, And People, Cary Coglianese
All Faculty Scholarship
New technologies bring with them many promises, but also a series of new problems. Even though these problems are new, they are not unlike the types of problems that regulators have long addressed in other contexts. The lessons from regulation in the past can thus guide regulatory efforts today. Regulators must focus on understanding the problems they seek to address and the causal pathways that lead to these problems. Then they must undertake efforts to shape the behavior of those in industry so that private sector managers focus on their technologies’ problems and take actions to interrupt the causal pathways. …
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 …
Administrative Law In The Automated State, Cary Coglianese
Administrative Law In The Automated State, Cary Coglianese
All Faculty Scholarship
In the future, administrative agencies will rely increasingly on digital automation powered by machine learning algorithms. Can U.S. administrative law accommodate such a future? Not only might a highly automated state readily meet longstanding administrative law principles, but the responsible use of machine learning algorithms might perform even better than the status quo in terms of fulfilling administrative law’s core values of expert decision-making and democratic accountability. Algorithmic governance clearly promises more accurate, data-driven decisions. Moreover, due to their mathematical properties, algorithms might well prove to be more faithful agents of democratic institutions. Yet even if an automated state were …
Ai In Adjudication And Administration, Cary Coglianese, Lavi M. Ben Dor
Ai In Adjudication And Administration, Cary Coglianese, Lavi M. Ben Dor
All Faculty Scholarship
The use of artificial intelligence has expanded rapidly in recent years across many aspects of the economy. For federal, state, and local governments in the United States, interest in artificial intelligence has manifested in the use of a series of digital tools, including the occasional deployment of machine learning, to aid in the performance of a variety of governmental functions. In this paper, we canvas the current uses of such digital tools and machine-learning technologies by the judiciary and administrative agencies in the United States. Although we have yet to see fully automated decision-making find its way into either adjudication …
Contracting For Algorithmic Accountability, Cary Coglianese, Erik Lampmann
Contracting For Algorithmic Accountability, Cary Coglianese, Erik Lampmann
All Faculty Scholarship
As local, state, and federal governments increase their reliance on artificial intelligence (AI) decision-making tools designed and operated by private contractors, so too do public concerns increase over the accountability and transparency of such AI tools. But current calls to respond to these concerns by banning governments from using AI will only deny society the benefits that prudent use of such technology can provide. In this Article, we argue that government agencies should pursue a more nuanced and effective approach to governing the governmental use of AI by structuring their procurement contracts for AI tools and services in ways that …
Law Enforcement’S Use Of Facial Recognition Software In United States Cities, Samantha Jean Wunschel
Law Enforcement’S Use Of Facial Recognition Software In United States Cities, Samantha Jean Wunschel
Honors Program Theses and Projects
Facial recognition software is something we use every day, whether it’s a suggested tag on our Facebook post or a faster way to unlock our phones. As technology becomes increasingly pervasive in our lives, law enforcement has adapted to utilize the new tools available in accessory to their investigations and the legal process.
Urban Warfare: Emerging Geopolitical Conundrum, Bert Chapman
Urban Warfare: Emerging Geopolitical Conundrum, Bert Chapman
Libraries Faculty and Staff Presentations
Urban warfare is as old as human history. It is becoming increasingly important in international political and military planning due to increasing global urbanization and the presence of megacities (urban areas with populations exceeding 10 million) in many global regions and being in areas of recent and potential military conflict. 2018 World Bank data notes that approximately 56% of the world's population lives in urban areas which is up from 34% in 1960. Many of these megacities, including New York City, Los Angeles, Sao Paulo, Mumbai, Shanghai, and Manila are adjacent to oceanic waters and vulnerable to trade and supply …
The Law Of Black Mirror - Syllabus, Yafit Lev-Aretz, Nizan Packin
The Law Of Black Mirror - Syllabus, Yafit Lev-Aretz, Nizan Packin
Open Educational Resources
Using episodes from the show Black Mirror as a study tool - a show that features tales that explore techno-paranoia - the course analyzes legal and policy considerations of futuristic or hypothetical case studies. The case studies tap into the collective unease about the modern world and bring up a variety of fascinating key philosophical, legal, and economic-based questions.
Collaborative Economy, Tourist Accommodation And Their Impact In The Context Of Sustainable Urban Development: Is Artificial Intelligence A Possible Answer?, Juli Ponce
Journal of Comparative Urban Law and Policy
No abstract provided.
From The Tree Of Knowledge And The Golem Of Prague To Kosher Autonomous Cars: The Ethics Of Artificial Intelligence Through Jewish Eyes, Nachshon Goltz, John Zeleznikow, Tracey Dowdeswell
From The Tree Of Knowledge And The Golem Of Prague To Kosher Autonomous Cars: The Ethics Of Artificial Intelligence Through Jewish Eyes, Nachshon Goltz, John Zeleznikow, Tracey Dowdeswell
Research outputs 2014 to 2021
This article discusses the regulation of artificial intelligence from a Jewish perspective, with an emphasis on the regulation of machine learning and its application to autonomous vehicles and machine learning. Through the Biblical story of Adam and Eve as well as Golem legends from Jewish folklore, we derive several basic principles that underlie a Jewish perspective on the moral and legal personhood of robots and other artificially intelligent agents. We argue that religious ethics in general, and Jewish ethics in particular, show us that the dangers of granting moral personhood to robots and in particular to autonomous vehicles lie not …
Busting Myths And Dispelling Doubts About Covid-19, Mark Findlay
Busting Myths And Dispelling Doubts About Covid-19, Mark Findlay
Research Collection Yong Pung How School Of Law
The Centre for AI and Data Governance (CAIDG) at Singapore Management University (SMU) has embarked over past months on a programme of research designed to confront concerns about the pandemic and its control. Our interest is primarily directed to the ways in which AI-assisted technologies and mass data sharing have become a feature of pandemic control strategies. We want to know what impact these developments are having on community confidence and health safety. In developing this work, we have come across many myths that need busting.