Law Commons^™

Policing For Profit: A Constitutional Analysis Of Washington State’S Civil Forfeiture Laws, Julia Doherty

Seattle University Law Review

The summer of 2020 reignited a conversation about the relationship between race and policing in the United States. While many have taken the opportunity to scrutinize the racially discriminate components of our criminal justice system, comparable aspects of civil law must be equally scrutinized. A particular area of concern pertains to racially biased policing and the concept of “policing for profits” with Black, Indigenous, and people of color communities (BIPOC), which is accomplished mainly through civil asset forfeiture at a state and federal level.

Facing Injustice: How Face Recognition Technology May Increase The Incidence Of Misidentifications And Wrongful Convictions, Laura M. Moy

Georgetown Law Faculty Publications and Other Works

Does law enforcement use of face recognition technology paired with eyewitness identifications increase the incidence of wrongful convictions in U.S. criminal law? This Article explores this critical question and posits that the answer may be yes. Facial recognition is frequently used by law enforcement agencies to help generate investigative leads that are then presented to eyewitnesses for positive identification. But erroneous eyewitness accounts are the number one cause of wrongful convictions, and the use of face recognition to generate investigative leads may create the conditions for erroneous eyewitness identifications to take place. This is because face recognition technology is designed …

Facial Recognition And The Fourth Amendment, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

Facial recognition offers a totalizing new surveillance power. Police now have the capability to monitor, track, and identify faces through networked surveillance cameras and datasets of billions of images. Whether identifying a particular suspect from a still photo, or identifying every person who walks past a digital camera, the privacy and security impacts of facial recognition are profound and troubling.

This Article explores the constitutional design problem at the heart of facial recognition surveillance systems. One might hope that the Fourth Amendment – designed to restrain police power and enacted to limit governmental overreach – would have something to say …

Big Data Prosecution And Brady, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

Prosecutors are joining the big data revolution, adopting “intelligence-driven” strategies to target crime patterns. Centralized big data systems now track offenders, places, and groups allowing prosecutors to link crimes by time, place, associations, or other connections. Adding to these types of formalized, structured databases are growing sources of raw, unstructured big data from digital surveillance technologies like video cameras, police body cameras, and automated license plate readers. The prosecutors of the future will sit on a wealth of valuable investigative insights – all searchable and potentially relevant for a more aggressive and proactive investigation strategy.But as helpful as these new …

The Exclusionary Rule In The Age Of Blue Data, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

In Herring v. United States, Chief Justice John Roberts reframed the Supreme Court’s understanding of the exclusionary rule: “As laid out in our cases, the exclusionary rule serves to deter deliberate, reckless, or grossly negligent conduct, or in some circumstances recurring or systemic negligence.” The open question remains: how can defendants demonstrate sufficient recurring or systemic negligence to warrant exclusion? The Supreme Court has never answered the question, although the absence of systemic or recurring problems has figured prominently in two recent exclusionary rule decisions. Without the ability to document recurring failures, or patterns of police misconduct, courts can dismiss …

Artificial Intellegence And Policing: First Questions, Elizabeth E. Joh

Seattle University Law Review

Artificial intelligence is playing an increasingly larger role in all sectors of society, including policing. Many police departments are already using artificial intelligence (AI) to help predict and identify suspicious persons and places.1 Increased computational power and oceans of data have given rise to inferences about violence and threats.2 AI will change policing just as it will healthcare, insurance, commerce, and transportation. But what questions should we ask about AI and policing?

The New Writs Of Assistance, Ian Samuel

Articles by Maurer Faculty

The providers of network services (and the makers of network devices) know an enormous amount about our lives. Because they do, these network intermediaries are being asked with increasing frequency to assist the government in solving crimes or gathering intelligence. Given how much they know about us, if the government can secure the assistance of these intermediaries, it will enjoy a huge increase in its theoretical capacity for surveillance—the ability to learn, in principle, almost anything about anyone. That has the potential to create serious social harm, even assuming that the government continues to adhere to ordinary democratic norms and …

Illuminating Black Data Policing, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

The future of policing will be driven by data. Crime, criminals, and patterns of criminal activity will be reduced to data to be studied, crunched, and predicted. The benefits of big data policing involve smarter policing, faster investigation, predictive deterrence, and the ability to visualize crime problems in new ways. Not surprisingly then, police administrators have been seeking out new partnerships with sophisticated private data companies and experimenting with new surveillance technologies. This potential future, however, has a very present limitation. It is a limitation largely ignored by adopting jurisdictions and could, if left unaddressed, delegitimize the adoption and use …

A Few Criminal Justice Big Data Rules, Stephen E. Henderson

Stephen E Henderson