This chapter addresses the ethical dimension of Artificial Intelligence Literacy, providing an overview of key principles and proposing pedagogical methods for their exploration. The first part reviews the main ethical challenges posed by AI, including issues of privacy, data bias, behavioural manipulation, and accountability. It synthesises a core set of guiding principles from prominent literature and policy documents—such as transparency, justice, non-maleficence, and responsibility. This chapter then re-contextualises these principles for the specific domain of education, incorporating child-centric considerations like pedagogical appropriateness, student rights, and teacher well-being. To translate these ethical concepts into classroom practice, the second part presents two dialogic teaching strategies. It recommends using structured Debate to engage students with controversial dilemmas and employing the case study method to ground abstract ethical principles in tangible, real-world scenarios. Ultimately, this chapter argues that fostering ethical deliberation through these methods is essential for developing the reflective and responsible judgement required to navigate an AI-driven society.