Cross-report synthesis
“Pre-crime” is not one technology. It links collection, identity resolution, inference or prioritization, human interpretation, intervention, retention, feedback, and review or redress. [1][3]
RESEARCH ROUTE 01
Decision Architecture and Definitions
Why “pre-crime” is better understood as a chain of collection, inference, intervention, retention, and redress than as one algorithm.
DIRECT ANSWER / EVIDENCE BOUNDARY
Route in brief
- Central claim
- The relevant unit of analysis is the entire sociotechnical decision architecture, because a modest ranking tool can become coercive through downstream policy while a sophisticated model may remain only analytical.
- Evidence posture
- The route separates documented operation, official claim, independent evaluation, legal interpretation, unknowns, and conceptual proposals.
- Scope boundary
- Taxonomy and lifecycle analysis; it does not assign operational labels beyond what the retained reports support.
DEFINITION / UNIT / CONSEQUENCE
Read the system as a decision architecture
The relevant unit of analysis is the entire sociotechnical decision architecture, because a modest ranking tool can become coercive through downstream policy while a sophisticated model may remain only analytical.
The route treats operational status, technical capability, official description, independent outcome evidence, legal authority, and human consequences as separate fields. None is inferred from the others.
EVIDENCE-QUALIFIED SYNTHESIS
What the retained reports support
The label remains part of the claim. A citation does not convert a caution, interpretation, or conceptual proposal into verified operation.
Report-supported
Record retrieval, identity matching, classification, forecasting, threat assessment, and prioritization answer different questions and require different validation. [3][1]
Caution
Product names such as “precision policing,” “decision support,” or “resource routing” do not determine whether a system is functionally predictive. [4][2]
Cross-report synthesis
Technical complexity and intervention intensity are independent variables; simple lists can produce severe consequences while advanced analytics may only organize records. [1][5][14]
Caution
A “hit,” arrest, referral, or later offense is not a valid accuracy measure without a denominator, untreated comparison, predeclared outcome, and analysis of changed enforcement exposure. [1][4][5]
CONNECTED CASES
Programs that make the distinction concrete
These cards summarize the retained reports. They do not disclose operational criteria, scoring formulas, screening thresholds, or evasion methods.
United Kingdom — London
Gangs Violence Matrix
2012–February 2024
Intelligence watchlist ranking named gang nominals using offenses, intelligence, victimization, and association.
- Documented use
- Inclusion affected targeting, stop and search, enforcement, safeguarding, and information sharing.
- Consequence
- Persistent police attention
- Evidence limit
- It was primarily a watchlist rather than machine-learning prediction; governance and disproportionality failures were documented.
- Rights-risk intensity
- Very high
United States — Chicago
Strategic Subject List / CVRM
2012–2019
Models ranking people for future gun-violence involvement, combining victimization and offending risk.
- Documented use
- Selection produced custom notifications, police contact, and intervention priority.
- Consequence
- Persistent police attention
- Evidence limit
- Independent evaluation did not demonstrate violence reduction and documented increased police contacts.
- Rights-risk intensity
- Very high
United States — Los Angeles
LAPD LASER chronic-offender program
2011–2019
Manually administered points and chronic-offender bulletins supported by analytical platforms.
- Documented use
- Bulletins directed officers to locate, contact, investigate, and collect additional information.
- Consequence
- Persistent police attention
- Evidence limit
- Selection, removal, documentation, and causal outcome evidence were weak or inconsistent.
- Rights-risk intensity
- Very high
United States — Pasco County, Florida
Intelligence-Led Policing program
2011–successor practices
Person and youth lists presented as identifying prolific or at-risk people.
- Documented use
- Selected people and families received repeated visits, monitoring, warrant checks, code enforcement, and heightened accountability.
- Consequence
- Persistent police attention
- Evidence limit
- No public evaluation established predictive validity of the original lists; operational attention itself generated confirming records.
- Rights-risk intensity
- Very high
United States and other deployments
PredPol / Geolitica
2011–2024 company closure
Commercial self-exciting place-time forecasting product deployed in multiple cities.
- Documented use
- Generated short-term patrol boxes for selected offenses.
- Consequence
- Planning or resource allocation
- Evidence limit
- Vendor claims and favorable experiments do not establish consistent incremental crime reduction; company operations ended.
- Rights-risk intensity
- Moderate
China — Xinjiang
Integrated Joint Operations Platform (IJOP)
documented 2010s; current configuration unclear
Region-specific platform aggregating records, checkpoints, sensors, household information, and rule-based warnings.
- Documented use
- Generated investigation tasks and flags concerning named people, relationships, places, and behavior.
- Consequence
- Detention or coercive intervention
- Evidence limit
- Public evidence is granular about an associated mobile application but not complete server logic, current configuration, thresholds, or all downstream decisions.
- Rights-risk intensity
- Extreme
Australia — New South Wales
Suspect Targeting Management Plan (STMP)
about 2000–December 2023
Long-running preventive-policing program selecting people believed likely to reoffend for individualized management.
- Documented use
- Plans could direct stops, searches, visits, bail checks, monitoring, warnings, arrest, referrals, and coordination.
- Consequence
- Persistent police attention
- Evidence limit
- Oversight found systemic documentation, youth, legality, and disproportionality problems; model and discretion changed over time.
- Rights-risk intensity
- Very high
Multiple jurisdictions
Real-Time Crime Centers
various
Centers integrating dispatch, cameras, license-plate readers, records, alerts, and analyst communications.
- Documented use
- Supports real-time response and investigation.
- Consequence
- Investigation or referral
- Evidence limit
- Not inherently predictive; classification depends on whether the center generates or operationalizes future-risk estimates.
- Rights-risk intensity
- High
FAILURE MODES
What can go wrong
- Conceptual ambiguity can allow consequential systems to evade scrutiny through rebranding.
- A single risk score can collapse distinct uncertainties and legal questions.
- Readers may mistake data integration for validated prediction.
SAFEGUARDS
What responsible governance requires
- Classify the system by function, unit of analysis, intervention consequence, persistence, and redress.
- Publish a lifecycle map from collection through correction and retirement.
- Keep operational status separate from technical capability and vendor claim.
- Require outcome measures that distinguish prediction from deployment effects.
OPEN QUESTIONS
What the current public record does not settle
Unknown is an evidence state, not an invitation to assume either a safeguard or a hidden capability.
- Which labels are being used to avoid a predictive-policing classification?
- Which downstream decisions transform an analytical flag into a coercive designation?
- Can corrections propagate to every system that copied the original designation?
RETAINED REPORTS
Source inputs for this route
The repository preserves the full submitted Markdown. The public page presents a bounded synthesis and keeps report claims distinct from later independent verification.
Submitted Comparative Report
The Real-World “Pre-Crime” Landscape: A Comparative Inventory and Governance Framework for Predictive Law Enforcement
Comparative inventory covering 36 programs in 15 countries. It supplies the collection-wide decision-architecture model, intensity distinctions, and governance framework.
Submitted Research Plan
The Global Evolution of Predictive and Preemptive Law Enforcement
Broad global research plan and taxonomy. Its stronger claims remain research leads unless corroborated elsewhere in the retained library.
Submitted Technical Report
The Global Technology Stack Behind Predictive Law Enforcement
Lifecycle and technology-stack synthesis spanning collection, matching, feature construction, scoring, intervention, feedback, correction, deletion, and retirement.