This session explores the intersection of artificial intelligence and spatial data, investigating the opportunities, challenges, and ethical considerations of integrating AI into cartography, GIS education, and geospatial analysis. From assessing how generative AI reshapes research agendas and classroom practices, to critiquing the black-box nature of machine learning in real-world applications like accessibility mapping, these presentations offer critical reflections and practical insights. Join us to discover how researchers and industry leaders are applying, testing, and challenging AI’s role in shaping the geospatial future.

• 11:15 AM
  Exploring Generative AI Applications in Cartography
  Claus Rinner, Toronto Metropolitan University

• 11:30 AM
  Assessing the Quality of Practice Questions Generated by GenAI: A Case Study in a Spatial Data Science Course
  Tingting Zhu, University of Toronto Mississauga

• 11:45 AM
  What were you thinking? AI Learning, Scientific Relevance, and Conceptualization in Curb Ramp Classification
  Shiloh Deitz, Saint Louis University

• 12:00 PM
  How Esri Canada is Implementing AI
  Alex Smith, Esri Canada