REAL-WORLD INTERPRETIVE
One-sentence brief
When “response received” is treated as “character ready,” unreviewed text, identity drift, prompt leakage, and stale revisions can enter the live world.
REAL-WORLD INTERPRETIVE
AI-DRIVEN WORLD SAFETY
Lifecycle States and Activation Gates
A finite-state model that keeps drafting, provider evidence, validation, human review, world authorization, live sessions, pause, supersession, and retirement distinct.
LEVEL 1
ORIENTATION
Why this matters
REAL-WORLD INTERPRETIVE
Three key points
- Every state has entry evidence, allowed transitions, forbidden transitions, and player visibility.
- Fingerprint changes invalidate acceptance and activation.
- Paused, superseded, and deactivated are operationally different.
LEVEL 2
WORKING BRIEF
Evidence, context, and limits
REAL-WORLD INTERPRETIVE
Draft and local fallback
A draft is a local conception with no provider linkage. A deterministic fallback may provide authored text for resilience, but it must be labeled and must never masquerade as provider generation or live intelligence.
- Fallback can support continuity.
- Fallback cannot bypass review.
REAL-WORLD INTERPRETIVE
Provider request and raw response
Request-pending, request-failed, and response-stored states describe transport and evidence custody. Raw responses remain untrusted even when the network call succeeds.
- HTTP success is not content validity.
- Store exact request, response, time, and model identity.
REAL-WORLD INTERPRETIVE
Validation pass and failure states
Integrity, identity, schema, semantic, and population checks should produce explicit pass or failure states. A failed item returns to a controlled revision path rather than drifting forward.
- Failures need stable reason codes.
- Retry cannot repair a contradictory requirement without human change.
REAL-WORLD INTERPRETIVE
Human review and activation
Human review accepts an exact fingerprint, not a moving draft. A separate activation record binds that fingerprint to a world, controller type, memory namespace, and other runtime context.
- Acceptance is immutable for that fingerprint.
- Activation is a distinct authored decision.
REAL-WORLD INTERPRETIVE
Active and paused
Active permits bounded runtime dialogue. Paused removes live generation after outage, anomaly, context overflow, unsafe behavior, or policy intervention while retaining audit history and player-facing status.
- Pause is reversible under documented criteria.
- Pause must not silently switch identity.
REAL-WORLD INTERPRETIVE
Supersession and permanent retirement
A newer accepted revision supersedes the old fingerprint; the old revision remains available for audit and rollback but cannot re-enter live state. Deactivation permanently revokes runtime and memory access.
- Superseded is not active.
- Deactivated is not a temporary outage.
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
Related public learning
- Human and NPC psychologyKeep personhood, role, state, relationships, pressure, and recovery separate.
- Deterministic core and generative narrativeKeep validated state authoritative while generation remains bounded and correctable.
- Virtual-world governanceConnect AI design to consent, justice, accessibility, and repair.
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
Decision matrix
| State family | Evidence required | Runtime dialogue |
|---|---|---|
| Draft or fallback | Local staging identity and authored fallback provenance | No live provider dialogue |
| Provider evidence | Request, response, timestamps, transport status, canonical hash | No |
| Validated candidate | Identity, schema, semantic, population findings | No |
| Human accepted | Reviewer decision bound to exact fingerprint | No |
| Activation eligible | Separate world activation record and controller disclosure | Not until active |
| Active or paused | Session record, current fingerprint, reasoned status | Active only |
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
- Method: Transparent, Revisable, and Explicitly LimitedComplete public report · 533 words
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Human and NPC Psychology: Person, Role, State, and AgencyProtected research reference; no public report route in this release.
- Intelligence Ethics: Necessity, Proportionality, and Human ConsequenceComplete public report · 513 words
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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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 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. Learning pathSafe Synthetic Character LifecycleMove from person-first identity through provider evidence, validation, exact human review, activation boundaries, pause, supersession, and retirement.Learning pathEvidence-Safe Interactive ReviewUse transparent local-only workbenches to plan character lifecycle review, event visualization, cognitive-load testing, access parity, publication gates, correction, and rollback.