LEARNING PATH // AI, NARRATIVE, SYSTEMS, PRIVACY, AND SAFETY TEAMS
Keep AI identity visible, game state deterministic, missions valid, memory scoped, fallbacks safe, and player wellbeing central.
Estimated total: 105 minutes
A 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.
/game-systems/ai/npc-identity-consent-and-provenanceA mission pipeline in which generative systems propose bounded narrative variations while deterministic validators ensure that objectives, locations, rewards, permissions, and exits are real.
/game-systems/ai/mission-generation-reliability-and-fail-forwardA bounded architecture for generative characters that protects budget, responsiveness, privacy, and authoritative game state under normal play, spikes, outages, and abuse.
/game-systems/ai/cost-latency-and-graceful-degradationContinue this path in the connected public section.
/mental-health/ai-mediated-distress-and-reality-testingContinue this path in the connected public section.
/mental-health/compulsive-ai-use-attachment-and-social-displacementA server-bounded investigation model using authorized game logs, minimum necessary data, competing hypotheses, chain of custody, exculpatory evidence, independent review, and appeal.
/game-systems/governance/in-game-investigations-privacy-and-due-process