Science and Technology 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 …

Digital Habit Evidence, Andrew Guthrie Ferguson

Articles in Law Reviews & Other Academic Journals

This Article explores how “habit evidence” will become a catalyst for a new form of digital proof based on the explosive growth of smart homes, smart cars, smart devices, and the Internet of Things. Habit evidence is the rule that certain sorts of semiautomatic, regularized responses to particular stimuli are trustworthy and thus admissible under the Federal Rules of Evidence (“FRE”) 406 “Habit; Routine Practice” and state equivalents.

While well established since the common law, “habit” has made only an inconsistent appearance in reported cases and has been underutilized in trial practice. But intriguingly, once applied to the world of …