{"resourceId":"police-report-quality-blinded-evaluation-2026","versions":[{"version":"external-38f27ee5c2eca806bf672915d3e02c6b9aec2440acb8f6a62ff2b3dc658280a3","resource":{"id":"police-report-quality-blinded-evaluation-2026","title":"Blinded police-report study distinguishes perceived quality from factual verification","organization":"Ian T. Adams and coauthors","sector":"Public safety","geography":"United States; one police agency","publishedAt":"May 8, 2026","publicationDate":"2026-05-08","eventDate":null,"sourceName":"CrimRxiv","sourceLabel":"Academic preprint; blinded expert evaluation","sourceUrl":"https://www.crimrxiv.com/pub/u7azgqzd/release/1","evidenceClass":"academic-research","outcomeClass":"cautionary","topics":["knowledge-work","accessibility-workforce","governance-procurement","operating-model"],"finding":"AI-assisted reports were less readable, while the primary overall perceived-quality difference was not statistically significant.","sledRelevance":"New-to-archive quality evidence complements yesterday's Manchester timing trial using related underlying reports; it is not an independent deployment or a new September experiment.","evidence":"The sample contained 20 assisted and 60 conventional reports; 92 raters supplied 354 evaluations covering 79 reports. Flesch scores were 52.28 versus 57.92. Overall quality p=.094; the accuracy-rating subscale p=.038. These are perceptions, not verified factual-error rates.","architectureImplications":"Interpretation: Pair drafts and final reports with authorized underlying audio, visual observations and explicit officer additions.","governanceImplications":"Interpretation: Separate readability, perceived accuracy and ground-truth correctness in acceptance rubrics.","securityPrivacyImplications":"Interpretation: Limit access to recordings and drafts, maintaining approved retention and discoverable provenance.","caveats":"Preprint, single agency/tool, small assisted sample, subjective ratings and generic readability metrics. Multiple subscales warrant caution. Methods and discussion differ on when raters were primed about AI; omit strong detection claims.","streamIds":["public-safety"],"roles":{"sales":"Interpretation: Records supervisors, patrol leadership and legal consumers need reports that communicate reliably. Ask whether current complaints concern omissions, readability or correction work, and whether anyone checks reports against original evidence. A bounded engagement could compare assisted and conventional reports for one incident category using blinded reviewers and source verification. The value hypothesis is a better-informed purchase decision, not guaranteed quality improvement. Explain that the observed accuracy result is a rating, not a counted fabrication rate. Because these reports relate to a previously studied agency, do not present the paper as independent multi-agency replication.","engineering":"Interpretation: Fit is a drafting copilot with a verifiable evidence path. Map transcription, generation, officer additions, review and RMS export; record model version and intermediate artifacts under approved access controls. Prerequisites include representative authorized recordings and independently checked reference facts. Test missing visual details, speaker attribution, unsupported additions and accessible presentation. Compare total correction effort and reader comprehension alongside factual completeness. Cloud, hybrid and local alternatives require separate data-handling and integration assessment; the preprint validates none of them. Any agent should prepare a draft while an accountable officer retains submission authority.","delivery":"Interpretation: The records unit should own a limited pilot with training, IT and prosecutor/defender input. Establish baseline quality, recruit independent readers, train supervisors on distinct error types and document reasons for revisions. Dependencies include source access, annotation skills and protected reviewer time. Proposed acceptance requires no critical unsupported facts in the agreed test set, complete provenance, and a locally agreed comprehension and correction-effort target. These are proposed gates, not study results. Recheck after model changes and track non-adoption. Risks include rating fluent text generously, treating a nonsignificant result as equivalence and overlooking burdens shifted to downstream readers."},"retrievedAt":"2026-09-08T03:01:11Z","enrichedAt":"2026-09-08T03:02:12Z","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Interpretation: Test comprehension with downstream readers and language-diverse reviewers; polished vocabulary is not an accessibility measure.","procurementImplications":"Interpretation: Require a local quality evaluation and exportable draft history before expansion; this study is no guarantee about newer models.","operatingModelImplications":"Interpretation: Records supervisors and downstream legal readers should jointly own quality definitions.","sourceVerification":{"openedUrl":"https://www.crimrxiv.com/pub/u7azgqzd/release/1","referenceExcerpt":"The study evaluates perceived quality, not factual accuracy","promptVersion":"sled-research-v3.1","model":null,"basis":"agent-reported inspection"}}}]}