LEARNING PATH // POPULATION-GENERATION TEAMS, NARRATIVE LEADS, QA ENGINEERS, DATA SCIENTISTS, AND FAIRNESS REVIEWERS
Detect slot filling, normalized duplication, semantic template families, repeated mechanics, misleading metrics, and unrepresentative review samples without scoring protected identities.
Estimated total: 128 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 — statistical, linguistic, fairness, and narrative 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 batch-level view of whether a cast is genuinely distinct or merely a small set of narrative and behavioral templates with substituted surface traits.
/game-systems/ai/population-diversity-template-families-and-false-positivesA layered duplication method that progresses from exact fingerprints to normalized templates, near-copy candidates, semantic clusters, and repeated behavioral graphs.
/game-systems/ai/exact-near-and-semantic-duplicationHow to use vocabulary, entropy, opening, duplication, cluster, and behavior metrics without turning one threshold into a universal quality oracle.
/game-systems/ai/metrics-threshold-profiles-and-context-sensitive-reviewA 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 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 character-design standard that gives fictional people homes, schedules, obligations, relationships, material concerns, hobbies, boundaries, and futures that do not revolve around the player.
/game-systems/ai/ordinary-life-continuity-independent-goals-and-agency