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

AI-DRIVEN WORLD SAFETY

Synthetic Character Systems: Identity, Validation, and Lifecycle Governance

A person-first, non-operational guide to separating authored identity, provider evidence, semantic validation, human review, runtime projection, memory, and retirement.

LEVEL 1

ORIENTATION

Why this matters

REAL-WORLD INTERPRETIVE

One-sentence brief

A fluent character is not automatically coherent, distinct, safe, reviewed, or ready for runtime. Trustworthy systems make every transition explicit and preserve the exact identity and evidence accepted by a human reviewer.

REAL-WORLD INTERPRETIVE

Three key points

  1. Provider output is untrusted evidence, not an activated character.
  2. Schema validity, semantic coherence, population quality, human review, and runtime authorization are different gates.
  3. A character needs ordinary life, independent goals, bounded memory, correction, pause, supersession, and retirement—not just dialogue.
  4. Use the local-only lifecycle review workbench to identify missing evidence without generating, validating, approving, or activating a character.
LEVEL 2

WORKING BRIEF

Evidence, context, and limits

REAL-WORLD INTERPRETIVE

Begin with a continuing fictional person

The system should preserve a stable identity, ordinary routines, relationships, private boundaries, independent goals, voice, and future agency. Provider generation can enrich an authored character, but it must not silently replace the person with a statistically convenient substitute.

  • Role is not identity.
  • A prompt is not a person.
  • A current scene is not durable identity.
REAL-WORLD INTERPRETIVE

Use an explicit lifecycle

Separate local drafting, deterministic fallback, provider request, raw response storage, integrity checks, identity and semantic validation, population review, human acceptance, activation authorization, active sessions, pause, supersession, and retirement. No stage implies the next one.

  • Receipt is not readiness.
  • Validation is not approval.
  • Approval is not activation.
REAL-WORLD INTERPRETIVE

Validate at several levels

Structural schema checks catch malformed records. Identity checks catch substitution. Semantic checks catch contradictions and impossible chronology. Population checks catch cloned voices and behavior. Human review handles nuance, culture, dialect, humor, mental-health portrayal, and artistic intent.

  • Each finding needs a path, explanation, confidence, and blocking state.
  • Cannot determine is safer than confident guessing.
REAL-WORLD INTERPRETIVE

Keep runtime context bounded

The complete creator artifact, provider evidence, accepted projection, volatile scene state, and retrieved memories have different purposes. Live prompts should receive only current, allowlisted context and should never contain administrative instructions, stale revisions, hidden review evidence, or unrelated private data.

  • Projection is durable.
  • Scene state is volatile.
  • Retrieved memory is turn-bounded.
REAL-WORLD INTERPRETIVE

Review the population, not only individuals

A thousand individually grammatical characters can still be a single template with swapped names. Evaluate biography structure, dialogue openings, relationship combinations, ordinary-life details, goals, refusals, humor, silence, and recovery patterns across the population.

  • Demographic difference is not narrative diversity.
  • Shared world vocabulary is not automatically duplication.
REAL-WORLD INTERPRETIVE

Keep human authority and remedy explicit

Automated systems can propose findings and route evidence. A human reviewer accepts or rejects an exact fingerprint; a separate authority creates an activation record; players receive controller disclosure and correction routes; incidents can pause, supersede, or retire a revision.

  • No silent activation.
  • No approval by metric.
  • No production authority in this release.
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

Move from the design question to the correct evidence gate.
Question Required record or gate Failure-safe outcome
What exactly was received from a provider? Immutable provider-evidence record and content hash Keep isolated from review and runtime
Is the character internally coherent? Identity, schema, semantic, chronology, relationship, and world-fact validation Block or escalate with localized findings
Is the population genuinely varied? Batch-level duplication, template-family, voice, behavior, and ordinary-life review Reject or require stratified human review
May this exact revision appear in runtime? Human acceptance of exact fingerprint plus separate activation record Remain inactive until both exist
What happens after a failure or revision? Pause, supersession, rollback, correction, and retirement records Preserve history while removing live eligibility
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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