The increasing use of abstract ethical principles—such as fairness, transparency, and accountability—to regulate the development of responsible artificial intelligence (RAI) has generated a tension between their general formulation and their practical applicability. This chapter argues that this tension cannot be resolved through an increase in normative protocols, but rather through the adoption of an alternative approach: we propose a dialogical ethical framework, inspired by Jürgen Habermas’s discourse ethics, that reconciles universal principles with specific contexts without incurring relativism or normative rigidity. Drawing from an interdisciplinary and philosophical perspective, we argue that responsible AI principles must be reinterpreted through participatory deliberation exercises, mediated by ethical facilitators, that allow for the construction of morally robust judgements. This dialogical approach makes it possible to articulate ethical principles for RAI, taking into account their contextual interpretation, yet without losing their normative force. Offering concrete recommendations, we conclude that the proposed dialogical framework can resist the charge against the appeal to general ethical principles.