This article discusses a case of how epistemic friction, discomfort and disagreement can become generative resources for interdisciplinary Responsible artificial intelligence (AI) research in health. Drawing on a four-year collaboration (2022–2026) on Responsible AI for health decision-making between AI Research, Medicine, Humanities and Law at a Dutch University and its University Medical Center, the article analyzes specific moments of “disconcertment” arising from interdisciplinary discussions on three central and interrelated concepts within the research group: (1) bias, (2) ground truth and (3) error. By analytically narrating the epistemic tensions produced by discipline-specific approaches to these concepts, the article shows how moments of disconcertment can create productive spaces for deepening interdisciplinary engagement. These moments may enable participating groups to address epistemological differences and reflect on taken-for-granted research relationships between their disciplines. Building on this insight, the article argues that moments of disconcertment can be mobilized as “little tools of friction” in interdisciplinary AI research more broadly. Such tools of friction support practices of “doing difference together” and may generate new possibilities and potentials for (inter)disciplinary thinking on AI, fostering new directions of doing interdisciplinary AI-based medicine and beyond.