Law Commons^™

Computationally Assessing Suspicion, Wesley M. Oliver, Morgan A. Gray, Jaromir Savelka, Kevin D. Ashley

University of Cincinnati Law Review

Law enforcement officers performing drug interdiction on interstate highways have to decide nearly every day whether there is reasonable suspicion to detain motorists until a trained dog can sniff for the presence of drugs. The officers’ assessments are often wrong, however, and lead to unnecessary detentions of innocent persons and the suppression of drugs found on guilty ones. We propose a computational method of evaluating suspicion in these encounters and offer experimental results from early efforts demonstrating its feasibility. With the assistance of large language and predictive machine learning models, it appears that judges, advocates, and even police officers could …

The Mosaic Theory In Fourth Amendment Jurisprudence: The Last Bastion Of Privacy In A Camera-Surveilled World, Auggie Alvarado

St. Mary's Law Journal

No abstract provided.

The Automated Fourth Amendment, Maneka Sinha

Emory Law Journal

Courts routinely defer to police officer judgments in reasonable suspicion and probable cause determinations. Increasingly, though, police officers outsource these threshold judgments to new forms of technology that purport to predict and detect crime and identify those responsible. These policing technologies automate core police determinations about whether crime is occurring and who is responsible.

Criminal procedure doctrine has failed to insist on some level of scrutiny of—or skepticism about—the reliability of this technology. Through an original study analyzing numerous state and federal court opinions, this Article exposes the implications of law enforcement’s reliance on these practices given the weighty interests …