This chapter explores how data collected by embodied artificial intelligence (AI) contributes to potential care deficits in patient interactions. While the principles of narrative medicine highlight the importance of understanding the patient’s personal story to deliver holistic care, there is a growing concern that the emphasis on data and metrics overshadows the essential human elements of empathy and personalized treatment. This chapter reviews Latour’s Actor-Network Theory (ANT) which frames AI as an active participant in the healthcare network, influencing and reshaping the dynamics of the doctor-patient relationship. Additionally, Foucault’s concept of biopolitics identifies these systems as tools of biopolitical control, managing and regulating patient care in ways that could reinforce existing power dynamics within the medical field. The tendency to anthropomorphize AI creates a misleading perception of objectivity or empathy, resulting in patients relying more on AI-driven recommendations, potentially at the expense of voicing their own preferences or concerns. This epistemic injustice could skew the shared decision-making process, making it less collaborative and more data dominated. The chapter concludes by addressing the “Control Problem,” which concerns how to best align embodied AI with human goals and examines the modern laws of robotics being proposed to ensure that these systems in healthcare act in ways that enhance, rather than detract from, human-centered care.