Stephanie Sheir

Papers

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About

Stephanie Sheir is a leading voice in the ethics of human-robot interaction, with a primary focus on the philosophical and experiential dimensions of trustworthy artificial intelligence. Her work bridges qualitative research and ethical theory to explore how individuals perceive and build trust with adaptable robotic systems. In her highly cited 2024 paper, "Adaptable robots, ethics, and trust," Sheir unpacks the often-conflated concepts of trust and trustworthiness, arguing that clarity is essential for responsible AI development. By examining the individual experience of trustworthy AI, she reveals how trust is not merely a technical property but a deeply relational and contextual phenomenon. Though early in her career, her work has already garnered 13 citations, signaling its immediate impact on the field. Sheir’s contributions are notable for their interdisciplinary rigor, drawing from philosophy, psychology, and computer science to inform ethical design principles. Her research challenges developers to consider not just what AI can do, but what it means to be worthy of human trust—a critical question as autonomous systems become more integrated into daily life.