GeoAI and Deep Learning Symposium: Geoprivacy and Ethics in Geospatial Data and GeoAI
The session recording will be archived on the site until June 25th, 2023
This session was streamed but not recorded
Date: 3/26/2023
Time: 8:30 AM - 9:50 AM
Room: Capitol Ballroom 3, Hyatt Regency, Fourth Floor
Type: Paper,
Theme:
Curated Track: AAG's GeoEthics Initiative and Related Effort
Sponsor Group(s):
Digital Geographies Specialty Group, Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Hongyu Zhang McGill University
Junghwan Kim Virginia Tech
Majid Hojati Wilfrid Laurier University
Jinmeng Rao University of Wisconsin-Madison
Chair(s):
Hongyu Zhang McGill University
Description:
While geospatial artificial intelligence (GeoAI), along with big data and high-performance computing facilities, continuously increases the capability of modern geographic information systems, the advancement of computational technologies has also expanded the field of geoethics into a multidisciplinary study area. Among those, geoprivacy is a frequently discussed topic because of the prevalence of the privacy paradox: individuals want to leverage new technology (e.g., making friends through sharing private experiences) and also avoid unwanted consequences (e.g., targeted advertising). In this session, we invite submissions of applied, theoretical, or methods-based research on geoprivacy and geoethics in the context of GeoAI.
Presentations (if applicable) and Session Agenda:
Ethan Kyzivat, Harvard University |
Landsat at 3 m resolution?!? Applying a super resolution model to surface water detection |
Yifan Sun, University of Washington |
DeepSatellite: A Large-Scale Dataset and Benchmark of Deepfake Satellite Imagery Detection |
Jue Wang, University of Toronto |
Evaluation of disclosure risk of individual GPS datasets: Daily activity locations k-anonymity |
Bertram Melix, Florida State University |
Bayesian Methods to Manage and Reduce Differential Privacy Uncertainty |
Jinmeng Rao, University of Wisconsin - Madison |
Toward Decentralized Geospatial Applications via Secure and Private Deep Learning |
Non-Presenting Participants
| Role | Participant |
|
| |
| |
| |
| |
| |
| |
| |
| |
| |
GeoAI and Deep Learning Symposium: Geoprivacy and Ethics in Geospatial Data and GeoAI
Description
Type: Paper,
Date: 3/26/2023
Time: 8:30 AM - 9:50 AM
Room: Capitol Ballroom 3, Hyatt Regency, Fourth Floor
Contact the Primary Organizer
Hongyu Zhang McGill University
hongyu.zhang@mcgill.ca
Session Sponsored By
