# ACIN AI Policy and CLEST Training Packet This cluster contains: - `GOV-001_ACIN_AI_Fact_Sheet.pdf`; - `GOV-002_Arkansas_Model_AI_Policy_TEMPLATE.pdf`; - `GOV-201_Arkansas_Act_848_of_2025_AI_Policy_Authority.pdf`; - `GOV-202_Arkansas_AI_Acceptable_Use_Policy_Final_2026-02-26.pdf`; - `TRN-001_ACIN_CLEST_AI_Training_Packet_FINAL_SOURCE_2026-07-06.pdf`; - `BRF-401_AI_in_Law_Enforcement_2026-05-23.pdf` and its Word-format counterpart `BRF-401N_AI_in_Law_Enforcement_2026-05-23.docx`. The records distinguish public explanation, model policy, statewide policy, and a prepared training-submission package. They should not be collapsed into one adopted ACIN policy or an externally approved course. ## ACIN fact sheet and essay The fact sheet says AI supports pattern detection, cross-jurisdiction case linking, lead generation, trend analysis, and relationship analysis, with human control over final decisions. It prohibits autonomous arrests, AI-only probable cause, social scoring, unauthorized surveillance, replacement of human judgment, and protected-status-only profiling (`GOV-001_ACIN_AI_Fact_Sheet.pdf`, p. 1). The PDF/DOCX essay versions similarly argue that AI results require review, verification, bias monitoring, privacy protection, and human authority (`BRF-401_AI_in_Law_Enforcement_2026-05-23.pdf`, p. 1; `BRF-401N_AI_in_Law_Enforcement_2026-05-23.docx`, full document). ## Act 848 and statewide policy The produced Act 848 copy requires covered public entities to adopt AI/automated-decision-tool policies and requires an authorized human employee or designee to make final decisions (`GOV-201_Arkansas_Act_848_of_2025_AI_Policy_Authority.pdf`, pp. 4-5). The produced Arkansas statewide AI Acceptable Use Policy is marked final and effective 2026-02-26. It requires human review, approved tools, auditability, training, and security controls; it prohibits reliance on AI alone for binding decisions and surveillance, profiling, or tracking without explicit statutory authority (`GOV-202_Arkansas_AI_Acceptable_Use_Policy_Final_2026-02-26.pdf`, pp. 1-4). This record documents the statewide policy ACIN cited. It does not itself prove that every ACIN vendor feature completed the state's review and approval process. ## Model policy `GOV-002` is expressly labeled "Template for Agency Adoption." It requires local legal, security, privacy, procurement, vendor-risk, accuracy, bias, retention, discovery, and command review before acquiring or materially changing AI. It also requires human review and limits vendor access, training, resale, and secondary use (pp. 1-2). Because it is a template, it is not evidence that every participating agency adopted it. ## CLEST packet `TRN-001` is a 55-page package prepared for the [[Arkansas Commission on Law Enforcement Standards and Training]]. It includes: - a 25-slide presentation; - a submission manual and lesson plan; - instructor and student material; - tests, answer keys, sign-in and evaluation forms; - instructor certification and completion-certificate templates; - copies/summaries of Act 848, state guidance, the ACIN fact sheet, and the model policy. The course repeatedly states that AI assists and humans decide; it addresses hallucinations, bias, deepfakes, CJIS, audit logs, and prohibited autonomous decisions (`TRN-001_ACIN_CLEST_AI_Training_Packet_FINAL_SOURCE_2026-07-06.pdf`, pp. 9-25, 45-53). The administrative pages retain blank CLEST-number and approval fields, and the certificate is explicitly a template (`TRN-001_ACIN_CLEST_AI_Training_Packet_FINAL_SOURCE_2026-07-06.pdf`, pp. 48-51). Although template text uses phrases such as "CLEST-approved training program," the package contains no completed approval, assigned CLEST number, external approval letter, or executed certificate. It establishes a prepared submission/course package, not external CLEST approval. ## Contract relationship The human-review rules are consistent with Peregrine's contract addendum, which calls AI/ML decision-support and leaves law-enforcement decisions to human review ([[Peregrine and Carahsoft Executed Contract]], `CON-002_Peregrine_Carahsoft_Executed_Contract_2026-03-17.pdf`, p. 22). The LeadsOnline package, however, gives concrete narrative, pattern, phone, movement, and case-linking functions whose risk assessment and approval record are not produced. ## Significance The materials demonstrate that ACIN anticipated AI governance, human oversight, and training. They also show a difference between stated safeguards and proof of institutional adoption or system approval: templates, prepared courses, and contract clauses are not completed audits, approvals, or usage reviews. ## Open questions / follow-ups - Did CLEST approve the course, assign a course number, or authorize delivery? - Which ACIN and participating-agency AI policies were actually adopted, and on what dates? - Did OST or another state review body approve Peregrine, LeadSuite, NightHawk, or CellHawk? - Produce inventories, risk assessments, bias/accuracy tests, decision logs, training completion records, and periodic reviews.