Educational companion dossier · Fact, interpretation, lived experience, clinical education, fiction, and mechanics are labeled separately. Scope & safety
REAL-WORLD INTERPRETIVE

AI-DRIVEN WORLD SAFETY

Human-Review Sampling and Accountable Evidence

A review plan that combines risk-based selection, stratified population sampling, exact fingerprints, scoped reviewer roles, and visible closure evidence.

LEVEL 1

ORIENTATION

Why this matters

REAL-WORLD INTERPRETIVE

One-sentence brief

Randomly reading a handful of convenient characters can miss dominant templates, rare failure clusters, sensitive portrayals, and multilingual defects while creating false confidence.

REAL-WORLD INTERPRETIVE

Three key points

  1. Sample across template families, languages, roles, and risk findings.
  2. Reviewers accept or reject an exact revision.
  3. Unresolved findings remain open rather than being averaged away.
LEVEL 2

WORKING BRIEF

Evidence, context, and limits

REAL-WORLD INTERPRETIVE

Design a representative sample

Select across dominant and small template families, outliers, languages, identity and representation risks, severe findings, and randomly chosen clean records. Pure convenience samples are not evidence.

  • Stratify before drawing.
  • Preserve the reproducible selection seed or method.
REAL-WORLD INTERPRETIVE

Assign scoped reviewer domains

Narrative, linguistic, cultural, accessibility, privacy, security, safety, clinical representation, and player-experience questions may require different reviewers. One approval does not cover every domain.

  • Record scope and competence.
  • Do not infer absent specialist approval.
REAL-WORLD INTERPRETIVE

Bind review to exact content

The review package shows the accepted projection, runtime fingerprint, validation findings, population context, source lineage, and any proposed repairs. A changed projection returns to review.

  • No moving target.
  • No approval of a summary instead of the actual record.
REAL-WORLD INTERPRETIVE

Record decisions and reasons

Store accept, reject, revise, cannot-determine, and conditional decisions with timestamp, scope, rationale, unresolved concerns, and reviewer role or accountable authority under the project’s privacy rules.

  • Silence is not approval.
  • Automated pass is not human acceptance.
REAL-WORLD INTERPRETIVE

Close findings explicitly

A finding closes only when repair evidence is attached, the exact revised fingerprint is identified, relevant reviewers confirm scope, and downstream activation or publication records are updated.

  • Preserve rejected and superseded revisions.
  • Propagate material correction.
LEVEL 3

COMPLETE DOSSIER

Limitations, game links, and review context

DISPUTED / MULTIPLE ACCOUNTS

Known limitations and gaps

  • The six supplied reports are preserved research leads. Their filenames, organizations, citations, examples, thresholds, and technical detail do not authenticate authorship, sponsorship, product status, or current factual accuracy.
  • The public section is design literacy, not a production specification. It does not expose provider credentials, prompts, live endpoints, activation tokens, autonomous tool use, or implementation code for a running agent system.
  • Population-quality measures must detect mechanical repetition and coherence failures without treating demographic rarity, disability, nationality, language, religion, gender, migration, or another protected characteristic as a defect or quality score.
  • Thresholds, similarity methods, sampling plans, language rules, and runtime budgets require representative testing, privacy review, accessibility review, cultural and linguistic review, security review, and accountable human approval before any production use.
REAL-WORLD INTERPRETIVE

Decision matrix

Sampling sources.
Selection stratum Why include it Evidence produced
Dominant template families Tests systemic sameness Family-level narrative findings
Small families and outliers Finds rare defects and protects unusual identities False-positive and representation findings
High-severity automated findings Tests blocker precision Confirmed or overturned localized defects
Multilingual and dialect records Tests language coverage and respect Linguistic review notes
Random clean records Estimates hidden defect rate Unbiased quality sample
REAL-WORLD INTERPRETIVE

Publication audit checklist

Identity and agency

Does the design preserve the exact fictional identity, ordinary life, independent goals, and ability to refuse rather than reducing the character to a role or prompt?

Pass condition: Identity fields are stable, state is separate, protected traits are not quality scores, and silent substitution is impossible.

Evidence and review

Can every transition, validation result, accepted fingerprint, exception, and human decision be traced to a versioned record?

Pass condition: Automated checks, human review, activation authority, and production approval remain separate and explicit.

Runtime boundary

Can untrusted provider output, administrative evidence, stale revisions, or private data enter live context or binding state?

Pass condition: Only allowlisted, current, reviewed projections and bounded scene or memory packets can be used; failures degrade safely.

Correction and retirement

Can a changed source, identity revision, harmful behavior, or failed review invalidate downstream use without destroying audit history?

Pass condition: Supersession, pause, rollback, correction, and permanent retirement are defined and testable.

LEVEL 4

RESEARCH EDITION

Sources, methods, and stable links

REAL-WORLD VERIFIED

Method and corrections

This page follows the public method for provenance, confidence, source independence, alternative accounts, limitations, review state, and visible correction.

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