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Coding Suspicion
Arthur Crivella, Wesley M. Oliver, Morgan Gray
190 - 194
10.3233/978-1-61499-935-5-190
Frontiers in Artificial Intelligence and Applications
Volume 313: Legal Knowledge and Information Systems
Abstract

Legal standards for suspicion involve seemingly limitless possible factors, leaving them vague and subject to concerns of illegitimate biases by decision makers. Beginning with the relatively small number of factors present in drug interdiction stops, a model can be developed that not only predicts judicial behavior but the odds of discovering drugs. This technology will require legislatures or judges to begin the process of determining what numerical threshold of suspicion justifies investigatory detentions and searches.

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