Dynamic PGA: Progressive Boundary Formation

Dynamic PGA: Progressive Boundary Formation extends the Dynamic Personalized Guidance Architecture (Dynamic PGA) framework by examining how personalization, trust, human agency, and boundaries should develop together in adaptive AI experiences. As AI systems become increasingly personalized, usefulness depends not only on what an AI system learns about an individual, but also on understanding what information should not be disclosed, reused, inferred, or carried into another context. This paper introduces Progressive Boundary Formation as a human-centered process through which individuals can recognize, communicate, test, and revise personal, relational, professional, and organizational boundaries as their interaction with AI develops. The framework considers the transition from private AI-assisted exploration to consequential human action, including communication, publication, professional activity, and interactions involving other people. It proposes that boundary awareness should develop alongside personalization and trust rather than appearing only as a static privacy setting or late-stage safeguard. Progressive Boundary Formation is presented as a conceptual extension of Dynamic PGA and its broader goal of creating AI experiences that adapt with the human while preserving human judgment, agency, relationships, and appropriate boundaries. Keywords: Dynamic PGA, Progressive Boundary Formation, artificial intelligence, personalized AI, human-centered AI, adaptive AI, human agency, AI trust, privacy, AI boundaries