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Full-Text Articles in Law

How Can Law Enforcement Use Technology To Protect Citizens Justly?, Zach Kantenwein Jan 2024

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 …


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 Jan 2022

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.


Law Library Blog (February 2021): Legal Beagle's Blog Archive, Roger Williams University School Of Law Feb 2021

Law Library Blog (February 2021): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.


Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley Jan 2019

Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley

Articles

This paper examines impressive new applications of legal text analytics in automated contract review, litigation support, conceptual legal information retrieval, and legal question answering against the backdrop of some pressing technological constraints. First, artificial intelligence (Al) programs cannot read legal texts like lawyers can. Using statistical methods, Al can only extract some semantic information from legal texts. For example, it can use the extracted meanings to improve retrieval and ranking, but it cannot yet extract legal rules in logical form from statutory texts. Second, machine learning (ML) may yield answers, but it cannot explain its answers to legal questions or …


Will War's Nature Change In The Seventh Military Revolution?, F. G. Hoffman Nov 2017

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 Nov 2017

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.


Capturing The Dialectic Between Principles And Cases, Kevin D. Ashley Jan 2004

Capturing The Dialectic Between Principles And Cases, Kevin D. Ashley

Articles

Theorists in ethics and law posit a dialectical relationship between principles and cases; abstract principles both inform and are informed by the decisions of specific cases. Until recently, however, it has not been possible to investigate or confirm this relationship empirically. This work involves a systematic study of a set of ethics cases written by a professional association's board of ethical review. Like judges, the board explains its decisions in opinions. It applies normative standards, namely principles from a code of ethics, and cites past cases. We hypothesized that the board's explanations of its decisions elaborated upon the meaning and …


Designing Electronic Casebooks That Talk Back: The Cato Program, Kevin D. Ashley Jan 2000

Designing Electronic Casebooks That Talk Back: The Cato Program, Kevin D. Ashley

Articles

Electronic casebooks offer important benefits of flexibility in control of presentation, connectivity, and interactivity. These additional degrees of freedom, however, also threaten to overwhelm students. If casebook authors and instructors are to achieve their pedagogical goals, they will need new methods for guiding students. This paper presents three such methods developed in an intelligent tutoring environment for engaging students in legal role-playing, making abstract concepts explicit and manipulable, and supporting pedagogical dialogues. This environment is built around a program known as CATO, which employs artificial intelligence techniques to teach first-year law students how to make basic legal arguments with cases. …