We welcome empirical and theoretical contributions, including work that documents effects and mechanisms in the following areas: ​​​
Productivity & Work
Workplace AI adoption, including the division of cognitive labor, task redesign, productivity and quality effects, reskilling, and handover in hybrid workflows.
Decision Quality
AI-assisted decision-making, including cognitive offloading, judgment accuracy and calibration, algorithm aversion and appreciation, and weak or “lazy” oversight.
Responsible AI
AI-mediated decisions, including trust and transparency, machine behavior, and responsibility and blame, as well as work using LLMs as “synthetic subjects”.
Education
AI use in education, including effects on student learning and performance, assessment integrity, and integration of AI as a learning support.
To submit an extended abstract or full paper, please use the form below.
