REAL-WORLD INTERPRETIVE
One-sentence brief
Human-like conversation should not depend on deception about controller type or on giving a model access to the entire authoring and review history.
REAL-WORLD INTERPRETIVE
AI-DRIVEN WORLD SAFETY
Controller Disclosure, Runtime Context, and Prompt Boundaries
A player-facing and technical boundary for showing how a fictional character is controlled while excluding administrative evidence, hidden prompts, stale revisions, and unrelated private data from live context.
LEVEL 1
ORIENTATION
Why this matters
REAL-WORLD INTERPRETIVE
Three key points
- Controller disclosure is persistent and accessible.
- Runtime context is an allowlist, not a dump.
- Prompt and evidence separation reduces leakage and identity blending.
LEVEL 2
WORKING BRIEF
Evidence, context, and limits
REAL-WORLD INTERPRETIVE
Disclose controller type
Players should be able to identify whether a character is authored, deterministic, generative, human-controlled, or a hybrid. Disclosure remains available during fallbacks and controller changes.
- Do not imply a real person is present.
- Use accessible text, not color alone.
REAL-WORLD INTERPRETIVE
Build context from an allowlist
Include only the current accepted projection, current scene facts, permitted memories, bounded dialogue, and runtime policy. Do not rely on blocklists to remove sensitive material after a full dump.
- Default deny administrative fields.
- Record component versions.
REAL-WORLD INTERPRETIVE
Exclude administrative evidence
Provider requests and responses, validation findings, reviewer identities or notes, raw creator prompts, credentials, internal paths, and rejected drafts do not belong in character context.
- The character should not quote the system prompt.
- Review evidence remains available to auditors, not the persona.
REAL-WORLD INTERPRETIVE
Define truth precedence
Current engine-observed scene facts outrank stale memories; accepted projection anchors identity; explicit corrections supersede earlier beliefs; player claims do not rewrite the world without deterministic validation.
- The character may disagree or remain uncertain.
- No user text directly changes binding state.
REAL-WORLD INTERPRETIVE
Handle out-of-character and impossible requests
Define how the character responds to requests for hidden prompts, admin actions, game-mechanic revelation, impossible feats, or another character’s private data without breaking identity or inventing authority.
- Refusal behavior can be character-specific.
- Security rules remain invariant.
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
| Context element | Include? | Condition |
|---|---|---|
| Accepted projection | Yes | Exact active fingerprint |
| Current scene state | Yes | Validated by game engine |
| Retrieved memory | Yes, bounded | Current, relevant, permitted, not superseded |
| Provider evidence and raw prompts | No | Administrative only |
| Human-review notes | No | Governance evidence only |
| Player claim about world state | Not as fact | Validate or store as claim/belief |
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
-
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.
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 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 pathRuntime Projection, Memory, and ReliabilityKeep creator evidence, accepted projections, scene state, memory, prompt context, budgets, fallbacks, identity, and incident response separate.