LEARNING PATH // NARRATIVE QA, LOCALIZATION, CULTURAL AND LINGUISTIC REVIEWERS, ACCESSIBILITY TEAMS, AND SAFETY REVIEWERS
Separate schema from semantic validity; test chronology, relationships, world facts, dialogue, dialect, representation, and accountable review.
Estimated total: 141 minutes
This learning path is repository-authored curation of public educational routes. It records no participant testing, accepts no files or free text, sends no choices to a remote service, and grants no source authentication, specialist approval, accessibility certification, publication authority, activation authority, production approval, or tuning authority.
Current review status: Repository-authored WIP.23 synthesis — linguistic, cultural, representation, and accessibility review pending
Three separate validation layers for structure, single-character coherence, and collective population quality—followed by human review.
/game-systems/ai/schema-semantic-and-population-validationA method for finding impossible timelines, contradictory fields, unsupported lore, and state changes that need temporal explanation.
/game-systems/ai/chronology-cross-field-and-world-fact-coherenceHow to validate shared facts across a social graph while preserving asymmetric feelings, private information, and changing trust.
/game-systems/ai/relationship-reciprocity-knowledge-and-privacy-boundariesA language-aware approach to grammar, pragmatic variation, dialogue repetition, deliberate nonstandard voice, and review escalation.
/game-systems/ai/dialogue-naturalness-dialect-and-human-reviewA fairness boundary for evaluating coherence and diversity without penalizing rare identities, pathologizing difference, or using protected traits as shortcuts for personality, danger, loyalty, or quality.
/game-systems/ai/representation-safety-stereotype-resistance-and-protected-traitsA review plan that combines risk-based selection, stratified population sampling, exact fingerprints, scoped reviewer roles, and visible closure evidence.
/game-systems/ai/human-review-sampling-and-accountable-evidenceA person-first framework for understanding how humans and authored NPCs think, choose, relate, protect identity, respond to pressure, and recover without being reduced to a job, diagnosis, faction, or plot function.
/human-npc-psychology