This workshop responds to the observation that, in work contexts, AI systems may promote unintended socio-cognitive consequences, including automation bias, overreliance, reduced critical engagement and sense of agency, and gradual deskilling. It reframes cognitive offloading as a design challenge and proposes a longitudinal perspective on AI-supported work across three time horizons (short, medium, and long term) and three dimensions: performance, agency, and skills. Through structured collaborative activities, participants will identify benefits, risks, protective factors, design strategies, and evaluation measures. The workshop aims to develop a shared vocabulary and a capability-aware research agenda that foregrounds human agency and skill sustainability in AI design.
Human Agency and Skill in AI-SupportedWork: Countering Cognitive Offloading
Federico Cabitza
2026-01-01
Abstract
This workshop responds to the observation that, in work contexts, AI systems may promote unintended socio-cognitive consequences, including automation bias, overreliance, reduced critical engagement and sense of agency, and gradual deskilling. It reframes cognitive offloading as a design challenge and proposes a longitudinal perspective on AI-supported work across three time horizons (short, medium, and long term) and three dimensions: performance, agency, and skills. Through structured collaborative activities, participants will identify benefits, risks, protective factors, design strategies, and evaluation measures. The workshop aims to develop a shared vocabulary and a capability-aware research agenda that foregrounds human agency and skill sustainability in AI design.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
