# Law-Enforcement AI-Assisted Analytics **Law-enforcement AI-assisted analytics** means computational tools used to surface patterns, links, relationships, and possible cross-jurisdiction connections for human investigators. In the first ACIN batch, ACIN says its AI helps "identify patterns, connect related incidents, and improve investigative efficiency across jurisdictions" ([[ACIN AI Fact Sheet]], p. 1). ## How it appears in the corpus - Listed functions include related-incident identification, trend detection, and possible connections among "people, vehicles, locations, and events" ([[ACIN AI Fact Sheet]], p. 1). - ACIN says AI "does not make arrests, charging decisions, or operational decisions" and that investigative decisions remain human-controlled ([[ACIN AI Fact Sheet]], p. 1). - The FAQ describes analytical technologies that may identify "patterns, links, and relationships across authorized datasets" ([[ACIN FAQ 2026-05-15]], p. 2). - ACIN disclaims predictive policing targeting innocent citizens, mass surveillance, social scoring, intelligence dossiers, and autonomous policing ([[ACIN AI Fact Sheet]], pp. 1-2). ## Stakeholders - [[Arkansas Criminal Intelligence Network]] and its authorized users. - [[ACIN Oversight and Governance Board]], which ACIN says provides governance. - Participating agencies that authorize datasets and retain decision authority. ## Notes The batch names no AI vendor, model, training data, feature set, risk assessment, validation method, error measure, human-review protocol, policy, audit sample, or deployed release. It establishes ACIN's stated use and safeguards, not technical performance or compliance.