Scholarlink

<p>Healthcare digital twins are increasingly framed as AI-enabled systems that integrate clinical, behavioral, and contextual data to predict and optimize individual health trajectories. While existing research emphasizes technical performance and clinical potential, less attention has been paid to how these systems reshape self-understanding, agency, and ethical responsibility in everyday life. This conceptual position paper examines healthcare digital twins through a Jungian technoscene perspective, using archetypal analysis to interrogate the social, affective, and governance dimensions of AI-driven health systems. We introduce a set of neo-archetypes, the Self and the Shadow, the Data Shepherd, the Cyber Mother, the Binary Bard, and the Neural Network Nomad, as analytic rather than design personae that surface tensions between data-driven objectification and lived experience, care and control, and personalization and power. Rather than treating digital twins as neutral or universally desirable technologies, the analysis foregrounds their role in producing norms, hierarchies, and forms of surveillance and self-surveillance through machine learning and continuous data feedback loops. By articulating alternative imaginaries beyond optimization-centric narratives, the paper positions archetypal analysis as a critical framework for understanding how AI-mediated healthcare reorganizes lived experience, symbolic meaning, and power within longitudinal socio-technical care environments.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

The Shadow and the self in digital twins in healthcare as an AI environment

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月6日

查看全文
  • Christel De Maeyer,
  • Barbara Renzi

摘要

Healthcare digital twins are increasingly framed as AI-enabled systems that integrate clinical, behavioral, and contextual data to predict and optimize individual health trajectories. While existing research emphasizes technical performance and clinical potential, less attention has been paid to how these systems reshape self-understanding, agency, and ethical responsibility in everyday life. This conceptual position paper examines healthcare digital twins through a Jungian technoscene perspective, using archetypal analysis to interrogate the social, affective, and governance dimensions of AI-driven health systems. We introduce a set of neo-archetypes, the Self and the Shadow, the Data Shepherd, the Cyber Mother, the Binary Bard, and the Neural Network Nomad, as analytic rather than design personae that surface tensions between data-driven objectification and lived experience, care and control, and personalization and power. Rather than treating digital twins as neutral or universally desirable technologies, the analysis foregrounds their role in producing norms, hierarchies, and forms of surveillance and self-surveillance through machine learning and continuous data feedback loops. By articulating alternative imaginaries beyond optimization-centric narratives, the paper positions archetypal analysis as a critical framework for understanding how AI-mediated healthcare reorganizes lived experience, symbolic meaning, and power within longitudinal socio-technical care environments.