MapAI 2023 – Presentation Videos & Collaborative Results

We are pleased to report that the Pre-ICC Workshop on Cartography and AI (MapAI 2023) was well-attended in person and online on August 12th. We had a fantastic range of lightning talks presented by our speakers, and a really engaging afternoon of collaborative work and discussion thereafter.

Video recordings are now available for the presentations given by our speakers at MapAI 2023. The talks are split into two main parts, and a guide below can be used to browse each video.

Part 1 – Video Available Here:

MapAI 2023 Workshop Introduction
Arzu Coltekin, FHNW Switzerland

Department of Geography & Environmental Studies Overview
Jaco Kemp, Stellenbosch University

What is a map? Questions about what makes a map a map and the potential for the layers in CartoAI
Carolyn Fish, University of Oregon The Use of AI in Atlas Projects Zhaoxu Sui,

University of Oregon Diffusion in Cartography – Opportunities and Challenges
Raimund Schnürer, Sidi Wu and Lorenz Hurni, ETH Zürich

Deep learning empowering global geospatial data production: Examples from industry Leigh Lotter, LuxCarta & Stellenbosch University

Adapting and Personalizing Maps with AI Artificial Intelligence and Cognitive Cartography: From Sequence Visualization to Interpretation
Standa Popelka, Palacky University Olomouc

Using Eye Tracking and AI to Personalize Map Reading: The importance of open benchmark datasets
Merve Keskin, NLS Finland

AI for personalising maps and its dangers
Tumasch Reichenbacher, University of Zürich

Where can combining eye-tracking and artificial intelligence take us?
Pyry Kettunen, NLS Finland

Part 2 – Video Available Here:

The Ethics of AI-Generated Maps: A Study of DALL·E 2 and Implications for Cartography
Yuhao Kang, Qianheng Zhang and Robert Roth, University of Wisconsin Madison

The Intersection of AI, Trust, and Cartography
Tim Prestby, Penn State University

The importance of trust in maps
Marketa Beitlova, Palacký University Olomouc

Potential Implications of Artificial Intelligence Generated Maps in the Dissemination of Misinformation
Noah Mead & Amy Griffin, RMIT University

Deepfake Maps and Satellite Images: Implications and Opportunities
Aileen Buckley, Esri

The Challenges of Using AI to Promote Further Learning in Cartographic Education
Lily Houtman, Penn State University

Creativity, Labor, & Cartography in the Age of AI
Jack Swab, University of Kentucky

Explainable AI – A Cartographic Imperative
André Skupin, San Diego State University

Results from Collaborative Research Question Development