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Articles 1 - 3 of 3
Full-Text Articles in Law
Computationally Assessing Suspicion, Wesley M. Oliver, Morgan A. Gray, Jaromir Savelka, Kevin D. Ashley
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 …
Prospects For Legal Analytics: Some Approaches To Extracting More Meaning From Legal Texts, Kevin D. Ashley
Prospects For Legal Analytics: Some Approaches To Extracting More Meaning From Legal Texts, Kevin D. Ashley
University of Cincinnati Law Review
No abstract provided.
The Limits Of Law And Ai, Ryan Mccarl
The Limits Of Law And Ai, Ryan Mccarl
University of Cincinnati Law Review
For thirty years, scholars in the field of law and artificial intelligence (AI) have explored the extent to which lawyers and judges can be assisted by computers. This Article describes the medium-term outlook for AI technologies and explains the obstacles to making legal work computable. I argue that while AI-based software is likely to improve legal research and support human decision making, it is unlikely to replace traditional legal work or otherwise transform the practice of law.