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

AI-DRIVEN WORLD SAFETY

AI NPC Cost, Latency, and Graceful Degradation

A bounded architecture for generative characters that protects budget, responsiveness, privacy, and authoritative game state under normal play, spikes, outages, and abuse.

LEVEL 1

ORIENTATION

Why this matters

REAL-WORLD INTERPRETIVE

One-sentence brief

Cost control is a safety feature: a system that depends on unlimited synchronous generation will eventually fail in ways that expose players to delays, inconsistent state, or unsafe fallbacks.

REAL-WORLD INTERPRETIVE

Three key points

  1. Use event-triggered inference rather than continuous autonomous ticks.
  2. Coalesce bursts, enforce cost-aware budgets, and cache safe summaries.
  3. Degrade to authored behavior without losing accessibility, consent, or state integrity.
LEVEL 2

WORKING BRIEF

Evidence, context, and limits

REAL-WORLD INTERPRETIVE

Separate authority, memory, and generation

The game engine owns identity, permissions, location, physics, inventory, missions, and sanctions. A memory service stores scoped summaries. The model proposes language and non-authoritative actions.

  • No model call is required for offscreen movement.
  • Cross-session memory is explicitly scoped.
  • Game-specific clues cannot leak between sessions.
REAL-WORLD INTERPRETIVE

Call-admission control

Invoke models only for direct human interaction or high-value authored events. Coalesce rapid messages, apply per-room and per-account budgets, and use token-aware limits rather than simple request counts.

  • Reject recursive generation loops.
  • Use backpressure rather than queue explosion.
  • Keep accessibility inputs equivalent.
REAL-WORLD INTERPRETIVE

Fallback ladder

When inference is delayed or unavailable, use cached replies, templated ambient behavior, authored dialogue, or a clear “cannot respond now” state. Never fabricate a mission or sanction to hide an outage.

  • Preserve conversation order.
  • Do not silently switch to a different identity.
  • Keep AI disclosure visible in every mode.
REAL-WORLD INTERPRETIVE

Privacy and cost align

Typed, scoped input is often cheaper and less invasive than continuous voice or biometric capture. Optional voice for human-to-human communication should not automatically feed NPC transcription.

  • Minimize retained prompts.
  • Redact secrets and personal data.
  • Audit vendor and model routing.
REAL-WORLD INTERPRETIVE

Budgets and review

Track cost per active human minute, latency percentiles, fallback rate, context size, memory retrieval, rejected actions, and safety interventions. High-impact budget changes require documented tradeoffs and staged rollout.

  • No pay-to-win priority queue for core interaction.
  • Do not reduce safety checks under load.
  • Test regional latency and low-end devices.
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.
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

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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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 Identity, Consent, Memory, and ProvenanceA 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.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.Learning pathVirtual-Society Simulation and Human ReviewFollow the reproducible stress-test evidence from cross-regional cohorts through telemetry, graceful degradation, appeal, correction, reviewer ownership, and the still-closed production gate.Learning pathRuntime Projection, Memory, and ReliabilityKeep creator evidence, accepted projections, scene state, memory, prompt context, budgets, fallbacks, identity, and incident response separate.
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