This chapter addresses the growing ethical complexity of AI communication and the urgent need to build trustworthy systems that reflect and respect human values. It introduces key strategies for bias mitigation, cultural sensitivity, and value alignment in AI interaction. It also explores mechanisms for building calibrated trust, such as transparent limitation communication, proactive risk signalling, and dialogic uncertainty disclosure. Emphasising a dual responsibility shared between AI systems and human users, the chapter highlights the necessity of communicating ethical boundaries, upholding privacy and security, and implementing accountability and override protocols. Throughout, it argues for a shift from compliance-oriented design to ethically expressive, user-aware, and culturally pluralistic communication frameworks. Together, these principles form a foundation for responsible, trustworthy, and ethically fluent AI systems that can support meaningful interaction while safeguarding human dignity, safety, and autonomy.