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Full-Text Articles in Law

Correctional Discharge Planning & The Missing Linkages, D'Andre D. Lampkin Apr 2016

Correctional Discharge Planning & The Missing Linkages, D'Andre D. Lampkin

D'Andre Devon Lampkin

This research project explores correctional rehabilitation and disconnects between correctional facilities and linkage to follow up mental health treatment. One of the components to releasing inmates is providing them with services that help reintroduce them into society. For the mentally ill, linkage to mental health services after spending any amount of time in a correctional facility is heavily dependent on follow through by the former inmate and the expediency and capacity of the mental health departments’ outpatient facilities within the community the former inmate is released into.


What Should Law Enforcement Role Be In Addressing Quality Of Life Issues Associated With Section 8 Housing?, D'Andre D. Lampkin Mar 2016

What Should Law Enforcement Role Be In Addressing Quality Of Life Issues Associated With Section 8 Housing?, D'Andre D. Lampkin

D'Andre Devon Lampkin

The purpose of this research project is to discuss the challenges law enforcement face when attempting to address quality of life issues for residents residing in and around Section 8 federal housing. The paper introduces readers to the purpose of Section 8 housing, the process in which residents choose subsidized housing, and the legal challenges presented when law enforcement agencies are assisting city government to address quality of life issues. For purposes of this research project, studies were sampled to illustrate where law enforcement participation worked and where law enforcement participation leads to unintended legal ramifications.


Crashing Into The Unknown: An Examination Of Crash Optimization Algorithms Through The Two Lanes Of Ethics And Law, Jeffrey K. Gurney Jan 2016

Crashing Into The Unknown: An Examination Of Crash Optimization Algorithms Through The Two Lanes Of Ethics And Law, Jeffrey K. Gurney

Jeffrey K Gurney

Autonomous vehicles will encounter situations where an accident is truly unavoidable, requiring the vehicle to decide whom or what to hit. In such situations, the vehicle will make difficult ethical decisions based upon its programming — more specifically, how its crash-optimization algorithm is programmed.This Article examines crash-optimization algorithms from an ethical and legal standpoint through the lenses of six moral dilemmas. Ethically, the Article focuses specifically on utilitarian and Kantian ethics. Legally, the Article considers the tort and criminal law implications of crash-optimization algorithms.In addition, the Article discusses whether autonomous vehicles should even make ethical decisions. Concluding that they should …


Machine Learning, Automated Suspicion Algorithms, And The Fourth Amendment, Michael L. Rich Jan 2016

Machine Learning, Automated Suspicion Algorithms, And The Fourth Amendment, Michael L. Rich

Michael L Rich

At the conceptual intersection of machine learning and government data collection lie Automated Suspicion Algorithms, or ASAs, algorithms created through the application of machine learning methods to collections of government data with the purpose of identifying individuals likely to be engaged in criminal activity. The novel promise of ASAs is that they can identify data-supported correlations between innocent conduct and criminal activity and help police prevent crime. ASAs present a novel doctrinal challenge, as well, as they intrude on a step of the Fourth Amendment’s individualized suspicion analysis previously the sole province of human actors: the determination of when reasonable …