REAL-WORLD INTERPRETIVE
One-sentence brief
Human-like dialogue can enrich a world, but hiding controller type, impersonating real people, or using intimate data without consent undermines agency and trust.
REAL-WORLD INTERPRETIVE
AI-DRIVEN WORLD SAFETY
AI NPC Identity, Consent, Memory, and Provenance
A clear boundary for AI-driven characters: players know when generative systems are involved, what data is used, what the NPC remembers, and which outputs can change game state.
LEVEL 1
ORIENTATION
Why this matters
REAL-WORLD INTERPRETIVE
Three key points
- AI-mediated characters need persistent, accessible identity signals.
- Memory must be inspectable, correctable, scoped, and deletable where policy allows.
- Generative output cannot directly control sanctions, assets, diagnosis, or canonical truth.
LEVEL 2
WORKING BRIEF
Evidence, context, and limits
REAL-WORLD INTERPRETIVE
Disclose AI involvement
Use an always-available AI or synthetic-character indicator, with optional diegetic presentation only when the player has already consented to that fiction. Do not make players prove whether an interlocutor is human.
- Text and screen-reader labels are required.
- Voice or visual style alone is insufficient.
- Never impersonate a real player or staff member.
REAL-WORLD INTERPRETIVE
Consent and age-appropriate boundaries
Adult or intimate content requires explicit age-appropriate access controls and per-context consent. Refusal should not trigger punishment, economic disadvantage, or social exposure.
- Separate general play from adult contexts.
- Do not infer consent from prior conversation.
- Support immediate exit and reporting.
REAL-WORLD INTERPRETIVE
Memory controls
Separate canonical character facts, session context, player-provided preferences, and sensitive disclosures. Give players understandable controls to review, correct, limit, or delete personal memory where compatible with safety and legal obligations.
- Do not store more than needed.
- Never convert health disclosure into a suspicion score.
- Record source and last update for character facts.
REAL-WORLD INTERPRETIVE
Authority boundary
The model may propose dialogue or actions. The authoritative engine checks permissions, location, ownership, objective state, safety policy, and economic consequences. Rejected proposals should fall back safely without repeated costly retries.
- No direct currency minting.
- No autonomous bans or diagnosis.
- No hidden transfer of private data between rooms.
REAL-WORLD INTERPRETIVE
Provenance and correction
Generated claims about lore, missions, other players, or institutions should carry source state and confidence. A correction should update future dialogue and any derivative quest or record.
- Preserve the original and corrected state.
- Avoid fabricated citations.
- Show when the character is uncertain or does not know.
LEVEL 3
COMPLETE DOSSIER
Limitations, game links, and review context
DISPUTED / MULTIPLE ACCOUNTS
Known limitations and gaps
- The supplied reports are preserved research inputs, not independent proof of every cited case, statistic, legal claim, or product description.
- Public material abstracts system design and player-protection principles; it omits actionable intrusion, evasion, coercion, targeting, sabotage, or real-person profiling methods.
- Player behavior, diagnosis, disability, nationality, religion, language, poverty, migration, or social identity are never automatic indicators of guilt, fraud, danger, or disloyalty.
- Parameters require simulation, accessibility testing, privacy review, regional review, and human playtesting before production use.
GAME MECHANIC
RogueIntelligence.org connections
- Synthetic character systems hubOpen the complete lifecycle, validation, population-quality, and runtime-governance section.
- AI mission reliabilityValidate generated missions before exposing player time or assets.
- AI-mediated distressReview a person-first wellbeing boundary.
- AI cost and degradationKeep safety intact when inference is slow or unavailable.
REAL-WORLD INTERPRETIVE
Glossary cross-reference
Terms are defined for this site’s evidence method, not as universal legal or clinical definitions.
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 INTERPRETIVE
Linked reports
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AI-Driven NPCs in Adult GamesProtected research reference; no public report route in this release.
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AI NPC Cost Architecture PlanProtected research reference; no public report route in this release.
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.
NEXT
CONTINUE
Related learning
AI-Driven World SafetyAI Mission Generation: Reliability, Verification, and Fail-ForwardA mission pipeline in which generative systems propose bounded narrative variations while deterministic validators ensure that objectives, locations, rewards, permissions, and exits are real.AI-Driven World SafetyAI NPC Cost, Latency, and Graceful DegradationA bounded architecture for generative characters that protects budget, responsiveness, privacy, and authoritative game state under normal play, spikes, outages, and abuse.AI-Driven World SafetyBatch Correlation, Ordering, Idempotency, and RetryA deterministic transport contract that maps every character response to one request, preserves order, handles retries safely, and keeps identity separate from network metadata.AI-Driven World SafetyChronology, Cross-Field, and World-Fact CoherenceA method for finding impossible timelines, contradictory fields, unsupported lore, and state changes that need temporal explanation. Learning pathAI-Driven NPC Safety and ReliabilityKeep AI identity visible, game state deterministic, missions valid, memory scoped, fallbacks safe, and player wellbeing central.