Geog-ChatGPT: Applications of ChatGPT/AI (lightning talks)

Ten speakers delivered nine lightning talks, each allotted three minutes and three slides. Kitty Currier (University of California, Santa Barbara) moderated the session.

Chapters:
00:00 Introduction
00:41 Phil Bartie (Dept. of Computer Science, Heriot-Watt University) & William Mackaness (School of Geosciences, The University of Edinburgh): OpenAI's Large Language Models and Spatial Data Science
04:52 Sundas Liaqat (I3a Solutions/National University of Sciences and Technology, Pakistan): GEOAI to Monitor and Analyze Changes in Land Cover and Land Use and Prediction of the Impacts of Climate Change
08:44 Jinmeng Rao (University of Wisconsin-Madison): Privacy and Security Issues in Large-Language-Model-powered Geospatial Applications
12:06 A. Hamdha Banu (Department of Geography, Youth Mappers and Disaster Management Unit, Eastern University, Sri Lanka): Sri Lankans and ChatGPT for Geographic Tasks
15:23 Chenlin Meng (Computer Science, Stanford University): Generative Modeling in Remote Sensing
18:50 Ana Brandusescu (Department of Geography, McGill University): Generative AI and the Scale of Public Sector Governance
22:32 Yuhao Kang (University of Wisconsin-Madison): The Ethics of AI-Generated Maps: A Study of DALLE 2 and Implications for Cartography
26:28 Piotr Szymański (Wrocław University of Science and Technology): Mapping the Future: Generating Vector Map Layers using ChatGPT and Stable Diffusion for Map Imagery
30:12 Joshua Bailey (SWCA Environmental Consultants): Large Language Models for Environmental Data Science with Geospatial Data and Tools, Enabled by LangChain
34:02 Audience Q&A