Voice AI technologies such as voice authentication and voice cloning are increasingly integrated and easily accessible, raising concerns around security, privacy, and fairness. In this demo paper, we describe our methodology of reflective design in a real-time Voice AI experience with the focus on reflection via estrangement, personalization, friction and reflection-in-action. We argue that designing such experiences can support critical reflection on Voice AI systems and lead to increased awareness of security risks, data collection practices, and potential identity loss.
Paper
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