Public Systems Observatory / Peru alpha 01

What can the public actually verify about government AI?

Six source-backed research records make the visible evidence, unresolved questions, and review state inspectable. This alpha measures public documentation. It does not rate system safety, effectiveness, or institutional intent.

Record content is shown in English for this locale while the full translation is prepared.
Research alpha

First-pass records · no second reviewer assigned · no agency response requested yet

06
systems documented
05
public sectors
10
official sources linked
28.06
evidence snapshot

One program / three evidence tracks

Follow the system. Test the workflow. Audit the surface.

The tracks answer different public questions and keep different proof standards. They share source lineage, review gates, correction routes, and one rule: no combined score that hides what was actually measured.

01 Live alpha

Follow

Public AI records

Trace what public institutions say a system does, the evidence they expose, and what remains unavailable for independent review.

Shipped evidence
6 first-pass records · 5 sectors · official source ledgers
Next gate
Independent second review and agency right of reply
Inspect the records
02 Protocol ready

Test

Public-service reliability

Replay bounded, non-destructive public-service tasks and separate source fidelity, recovery, correctness, and unsafe action.

Shipped evidence
10 frozen fixtures · 2 persisted trajectories · deterministic scorer
Next gate
Eight additional trajectories and independent review
See the funded milestone
03 Recurrent snapshot

Audit

Municipal digital surface

Measure the technical architecture municipalities declare publicly while preserving every snapshot and completeness gate.

Shipped evidence
1,871 municipalities · 2 public snapshots · 100-site HTTP sample
Next gate
More observations before any historical reliability claim
Open live atlas

Evidence index

Six systems. Twelve questions each.

The strips show evidence coverage, not quality or safety: documented, partial, or not found publicly in the reviewed source set.

not found publiclypartialdocumented
01/ 06

Research record · Electoral

EleccIA

Jurado Nacional de Elecciones

First-pass review Agency response not requested

Public purpose

Support qualification and proposed pronouncement drafting for candidate-list registration files.

Decision context

Electoral legal-administrative workflow with consequences for candidates and political organizations.

Inputs described

Registration files, attached documents, signature validation, JNE databases, and electoral rules.

Output described

Qualification summary and proposed resolution text.

Human oversight

Jurisdictional staff validate or modify the qualification; the JEE plenary reviews the proposed resolution.

Public evaluation evidence

The directive mentions tests and validation data. We found no public accuracy, correction, or disagreement metrics.

Public governance evidence

The directive cites data-protection rules and documents audit traces with permanent retention.

What the sources support

  • A public directive defines purpose, scope, workflow, data access, and retention.
  • Human modification and plenary review are explicitly documented.

Missing public evidence

  • Performance and disagreement metrics
  • Provider and development provenance
  • AI-specific affected-party redress
  • Post-deployment audit plan
“Not found publicly” means we did not locate it in this source set. It never means the evidence or safeguard does not exist.

Next evidence request

Aggregate accuracy, correction, disagreement, and audit metrics after deployment.

Evidence coverage map

Each cell represents recoverable documentation for one field. It is not a composite score.

Existence documented
Purpose documented
Owner documented
Inputs documented
Output documented
Oversight documented
Evaluation not found publicly
Privacy documented
Audit trail documented
Correction partial
Updates partial
Contact partial

Claim boundary

This record does not evaluate electoral outcomes or claim that EleccIA makes final decisions. Provider and development provenance remain unresolved.

02/ 06

Research record · Identity

DNI BioFacial

RENIEC

First-pass review Agency response not requested

Public purpose

Remote identity validation and photo capture for supported DNI services.

Decision context

Biometric verification can determine whether a citizen continues a remote identity-document procedure.

Inputs described

Facial image capture, identity data, and mobile workflow inputs.

Output described

Identity-validation result used to continue the remote procedure.

Human oversight

The public sources reviewed do not describe a manual escalation or fallback protocol in enough detail.

Public evaluation evidence

We found no public false-match, false-non-match, accessibility, or demographic performance metrics.

Public governance evidence

Official service pages establish the biometric context, but app-specific retention and audit evidence remain incomplete.

What the sources support

  • Official pages document supported remote DNI workflows.
  • Facial capture and biometric validation are part of the service flow.

Missing public evidence

  • False-match and false-non-match rates
  • Accessibility and demographic performance
  • Manual fallback for failed validation
  • App-specific retention and audit trail
“Not found publicly” means we did not locate it in this source set. It never means the evidence or safeguard does not exist.

Next evidence request

Aggregate biometric performance, accessibility, fallback, retention, and appeal data.

Evidence coverage map

Each cell represents recoverable documentation for one field. It is not a composite score.

Existence documented
Purpose documented
Owner documented
Inputs documented
Output documented
Oversight not found publicly
Evaluation not found publicly
Privacy documented
Audit trail not found publicly
Correction not found publicly
Updates partial
Contact partial

Claim boundary

Internal development is confirmed by the evidence reviewed. This record does not assess biometric accuracy or infer harm from missing public metrics.

03/ 06

Research record · Justice

CURIA

Poder Judicial

First-pass review Agency response not requested

Public purpose

Assist judicial work with legal-information search, analysis, systematization, and drafting support.

Decision context

An internal legal assistant operating around high-stakes judicial workflows.

Inputs described

Judicial files, legal information, and jurisprudence are described at a high level.

Output described

Search, analysis, systematization, and draft support; exact operational boundaries remain unclear.

Human oversight

Assistant framing establishes a human user, but the review protocol and use restrictions are not public in the current evidence.

Public evaluation evidence

We found no public benchmark, hallucination test, retrieval evaluation, or quality metrics.

Public governance evidence

The reviewed public sources do not specify data retention, audit logging, incident handling, or matter-type restrictions.

What the sources support

  • Official Judiciary pages confirm launch and deployment updates.
  • The described use includes search, analysis, systematization, and drafting support.

Missing public evidence

  • Model and retrieval provenance
  • Reliability and hallucination benchmarks
  • Human review and matter-scope protocol
  • Audit, retention, and incident controls
“Not found publicly” means we did not locate it in this source set. It never means the evidence or safeguard does not exist.

Next evidence request

Deployment protocol, model and retrieval boundaries, evaluation results, review rules, and audit controls.

Evidence coverage map

Each cell represents recoverable documentation for one field. It is not a composite score.

Existence documented
Purpose documented
Owner documented
Inputs partial
Output documented
Oversight partial
Evaluation not found publicly
Privacy not found publicly
Audit trail not found publicly
Correction not found publicly
Updates not found publicly
Contact partial

Claim boundary

Internal development is confirmed. This record does not claim CURIA produces wrong outputs or makes judicial decisions.

04/ 06

Research record · Environment

ADETOP v2

OSINFOR

First-pass review Agency response not requested

Public purpose

Detect and monitor possible illegal logging using satellite and forest-oversight data.

Decision context

Detection signals can influence field-work and environmental enforcement priorities.

Inputs described

Satellite imagery and forest-monitoring data; exact datasets require confirmation.

Output described

Detection or monitoring signal for possible illegal logging.

Human oversight

Official material says it complements field work, but the public review protocol is incomplete.

Public evaluation evidence

We found no public precision, recall, false-alarm, ground-truth, or regional performance metrics.

Public governance evidence

Operational-use material is public; audit trails and affected-party correction pathways were not found in this evidence set.

What the sources support

  • Official sources describe satellite-supported illegal-logging detection.
  • The tool is described as a complement to field work.

Missing public evidence

  • Validation and false-alarm metrics
  • Dataset and ground-truth definitions
  • Human review workflow
  • Correction pathway for affected actors
“Not found publicly” means we did not locate it in this source set. It never means the evidence or safeguard does not exist.

Next evidence request

Validation metrics, geospatial sources, review boundaries, correction process, and update history.

Evidence coverage map

Each cell represents recoverable documentation for one field. It is not a composite score.

Existence documented
Purpose documented
Owner documented
Inputs documented
Output documented
Oversight partial
Evaluation not found publicly
Privacy not found publicly
Audit trail not found publicly
Correction not found publicly
Updates partial
Contact partial

Claim boundary

This record does not verify individual detections or infer an enforcement action from an algorithmic signal.

05/ 06

Research record · Health

INEN MRI AI

Instituto Nacional de Enfermedades Neoplásicas

First-pass review Agency response not requested

Public purpose

Optimize MRI examinations in cancer-detection workflows.

Decision context

AI-supported medical imaging operates around diagnostic care, but the exact clinical decision boundary is not public.

Inputs described

MRI imaging and clinical workflow inputs; modality details were not recovered.

Output described

Imaging optimization or assistance output; exact clinical output remains unclear.

Human oversight

Clinical review is expected in the surrounding workflow, but the AI-specific protocol is not public in the current evidence.

Public evaluation evidence

We found no public sensitivity, specificity, reader-study, cohort, or local clinical validation metrics.

Public governance evidence

The health-data context is high stakes. AI-specific privacy, audit, and monitoring evidence remain incomplete.

What the sources support

  • An official INEN source announces the incorporation of AI for MRI exams.
  • The stated purpose is optimization in a cancer-detection workflow.

Missing public evidence

  • Model and vendor identity
  • Clinical validation and local cohort
  • AI-specific clinical oversight
  • Privacy, audit, and monitoring controls
“Not found publicly” means we did not locate it in this source set. It never means the evidence or safeguard does not exist.

Next evidence request

Model identity, aggregate validation, clinical oversight, privacy controls, and post-deployment monitoring.

Evidence coverage map

Each cell represents recoverable documentation for one field. It is not a composite score.

Existence documented
Purpose documented
Owner documented
Inputs partial
Output documented
Oversight partial
Evaluation not found publicly
Privacy not found publicly
Audit trail not found publicly
Correction not found publicly
Updates not found publicly
Contact partial

Claim boundary

This record confirms a public deployment claim. It does not assess clinical safety, effectiveness, or diagnostic performance.

06/ 06

Research record · Health

CadEye

Hospital Regional Lambayeque

First-pass review Agency response not requested

Public purpose

Assist gastroenterology staff during digestive endoscopy.

Decision context

AI-supported endoscopy operates inside a clinical imaging workflow.

Inputs described

Endoscopy imagery or video stream; exact local data handling is not public.

Output described

Visual assistance during endoscopy; exact operational boundary needs confirmation.

Human oversight

Clinicians operate the service, but the AI-specific review, training, and fallback protocol is not public.

Public evaluation evidence

We found no public local sensitivity, specificity, detection, false-positive, or false-negative metrics.

Public governance evidence

The official page confirms equipment use. Local validation, patient disclosure, audit, and incident evidence remain incomplete.

What the sources support

  • An official hospital page describes AI-assisted gastroenterology equipment.
  • CadEye is identified in the public deployment context.

Missing public evidence

  • Local clinical validation
  • Clinical training and review protocol
  • Patient disclosure and data controls
  • Maintenance, updates, and incidents
“Not found publicly” means we did not locate it in this source set. It never means the evidence or safeguard does not exist.

Next evidence request

Aggregate local validation, staff protocol, patient disclosure, maintenance, privacy, and incident controls.

Evidence coverage map

Each cell represents recoverable documentation for one field. It is not a composite score.

Existence documented
Purpose documented
Owner documented
Inputs partial
Output documented
Oversight partial
Evaluation not found publicly
Privacy not found publicly
Audit trail not found publicly
Correction not found publicly
Updates not found publicly
Contact partial

Claim boundary

This record does not assess clinical safety, effectiveness, certification, or individual patient outcomes.

Method and limits

A public-evidence register, not a verdict engine.

We begin with official catalogs, directives, service pages, and institutional publications. Every positive claim needs a linked source. Unknowns remain unknown. A first-pass review is not independent replication.

01Collect

Start with official public sources and preserve the exact URL.

02Separate

Keep confirmed facts, interpretations, and missing evidence distinct.

03Review

Expose review and agency-response state on every record.

04Correct

Version material changes and keep a public correction route.

Current limitations

  • Only six systems are included in this alpha.
  • No second reviewer is currently assigned.
  • No agency right-of-reply request has been sent.
  • The snapshot can lag internal or newly published documentation.
  • Health records do not assess clinical safety or effectiveness.

Independence

Crafter Research is an independent public-interest lab by Crafter Station. The institutions listed here did not commission these records and have no editorial control. Material support for this work will be disclosed.

Next release / 90-day contract

Turn the alpha into a reviewed, versioned public release.

The program is already inspectable. Support pays for the expensive missing layers: independent review, agency response, evidence preservation, repeated trajectories, and publication maintenance.

$25k
full milestone
$5k
three-system fallback
300–600
A100-equivalent hours
  1. 01Follow

    Six reviewed records, an adjudication log, and bounded right-of-reply outreach.

  2. 02Test

    Ten safe trajectories, scorer outputs, exclusions, and a public failure taxonomy.

  3. 03Audit

    Additional versioned observations tied only to complete Muniscan snapshots.