L.07. Rethinking Care and Learning Within the Posthuman Turn

Stream L. Ecologies, Ethics, and Posthuman Futures
Convenor(s) Ludovica Rubini (University of Trieste); Assunta Viteritti (Sapienza University of Rome); Letizia Zampino (University of Trento)
Keywords Posthuman care and learning, Algorithmic accountability, Human-robot collaboration

The rapid diffusion of artificial intelligence (AI) technologies and advanced robotics within educational and healthcare systems is reshaping institutional practices, redistributing power, and redefining concepts of care, teaching and medical expertise. Adaptive learning, robotic surgery and algorithmic decision-making represents examples of non-human actors embedded in clinical and learning environments. This panel explores how educational institutions and healthcare systems can engage with these transformations and contribute to envisioning a democratic future of care within an emerging posthuman context. From a science and technology studies (STS) perspective, we consider AI-based technologies and robotics as sociomaterial assemblages that affect organizational routines, professional cultures, and daily interactions.

We welcome theoretical, empirical, and methodological contributions addressing topics such as:

  • Critical data practices and ethical awareness in healthcare training and medical education;
  • Professional authority and autonomy within hybrid environments (e.g., clinical or leaning robot collaboration).       
  • AI-based technologies within higher education, healthcare systems and welfare environments;
  • Accountability when errors or outcomes are produced by the entanglement of human and non-human agents in diagnosis or assessment.
  • Care and learning as practice enacted, perceived, and reshaped by screens, sensors, robotics and algorithms.

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