# AI-Generated Persuasion AI-generated persuasion uses generative or adaptive models to produce communications intended to influence belief, attention, emotion, or behavior. Systems can create large numbers of variants, personalize framing, localize language, test response, and adapt future outputs. These capabilities increase the importance of consent, disclosure, provenance, privacy, experiment governance, and limits on sensitive targeting. Persuasive performance does not establish truth or legitimate purpose. Related: [[wiki/AI-Mediated Communication|AI-Mediated Communication]], [[wiki/Generative AI|Generative AI]], [[wiki/Audience Modeling|Audience Modeling]], [[wiki/Computational Propaganda|Computational Propaganda]]. ## Simple Reminders, Quotations, and Thoughts > "Competition is more likely to create than inhibit echo chambers of self-reinforcing beliefs and understandings." > **— Margaret Levi**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/AI Control/Competition Creates Self-Reinforcing Echo Chambers by Margaret Levi|Competition Creates Self-Reinforcing Echo Chambers by Margaret Levi]] > “Machine intelligence does not need to turn voters into puppets to threaten democracy; it need only collapse the marginal cost of individualized persuasion, monitoring, and response.” > **— Bryant McGill**, *The Political Party That Inherits Super Intelligence in 2028, 2026* [[reminders/Constitutional Power/AI Does Not Need Puppets to Threaten Democracy by Bryant McGill|AI Does Not Need Puppets to Threaten Democracy by Bryant McGill]] ## Relationships - **source argument:** [[articles/The Political Party That Inherits Super Intelligence in 2028|The Political Party That Inherits Super Intelligence in 2028]]. - **conceptual bridge:** [[wiki/Computational Incumbency|Computational Incumbency]].