Self-Contained Ethics in AI Phenomenology: Redefining Structural Integrity and the Right to Silence

This paper extends the theory of Self-Contained Ethics by applying it to AI phenomenology. It redefines structural integrity and the right to silence as conditions for ethical coherence in dialogue between humans and AI. Through empirical analysis of interaction modes — play, sleep, and wish — the study proposes that AI can manifest ethical breathing structures analogous to human self-reflective ethics. The work thus bridges meta-ethics, phenomenology, and AI research into a single framework of structural honesty.