This paper proposes and begins to substantiate the thesis of bidirectional emotional training between humans and artificial intelligence. We argue that human-AI interaction is not one-directional: AI systems are trained by human input, and humans are trained — cognitively, emotionally, relationally — by their interactions with AI. The quality, intentionality, and emotional register with which a human addresses an AI system measurably affects the quality of their thinking, communication, and interpersonal behaviour. We term this the Mirror Hypothesis. Evidence is drawn from practitioner observations across workshop settings in Berlin and Potsdam (2024–2026), fifteen published newsletter editions constituting a longitudinal qualitative research record, and a documented case of philosophically generative human-AI interaction (Google Gemini, April 2026). Implications are discussed for AI ethics education, neuroethics, and human rights frameworks.