Special Session | zZ-cY-Invited | CSCL Invited Symposium

The rapid diffusion of artificial intelligence across educational, professional, and civic settings has unsettled long‑standing assumptions about how people learn, collaborate, and make sense of complex problems. This plenary symposium invites the society to reimagine this disrupted landscape through the lens of human–AI complementarity: the idea that humans and AI systems can contribute distinct, interdependent strengths that enable new forms of learning and collective capability. Bringing together scholars whose work spans sociotechnical design, collaborative learning, cognitive augmentation, and AI ethics, the session explores how complementary partnerships can repair fractured practices, redistribute expertise, and open pathways for more expansive participation. The symposium centers on three intertwined questions: (1) How does complementarity reframe disruption (not as loss, but as an opportunity) to rethink core learning processes and relationships? (2) What models of hybrid collaboration reveal when and how AI can amplify, rather than overshadow, human judgment, creativity, and agency? (3) How must learning environments, tools, and policies be reconfigured to cultivate equitable and trustworthy human–AI interdependence? Through empirical cases, design exemplars, and forward‑looking provocations, this session offers a vision for reconstituting learning ecologies where disruption becomes a catalyst for more resilient, participatory, and humane futures.