Spoofing in Geography: Can we trust Artificial Intelligence to manage geospatial data?

Authors: Bo Zhao*, Oregon State University
Topics: Geographic Information Science and Systems, Cartography
Keywords: spoofing, AI, GIScience
Session Type: Paper
Day: 4/6/2019
Start / End Time: 3:05 PM / 4:45 PM
Room: Coolidge, Marriott, Mezzanine Level
Presentation File: No File Uploaded

As an increasingly significant component of modern technology, AI has been proved and will continue to leverage various aspects of the traditional industry, and further emancipate human beings from automatable works. In the meantime, AI techniques have been used to falsify transmitted GPS signals to change the planned course of a superyacht, to create bots to crawl private Internet information, and to spread the fake news to targeted groups on Facebook. Although the polarized effects of AI have been well disseminated, most geographers still keep an optimistic view of its current developments. In retrospect, GIScience has incorporated AI for more than three decades in, such as agent-based modeling, object detection for aerial imagery, and cellular automaton. Since 2015, a newly-emerged concept GeoAI has been frequently mentioned by both the industrial (e.g., ESRI, MapD) and the academia (e.g., GeoAI sessions in AAG annual conferences). GeoAI has been touted to provide tremendous opportunities to leverage geospatial science with a series of AI advances. In light of the polarized effects of AI, we encourage geographers, GIScientists and even the public to recognize its complicated implications on individuals and human society. Therefore, by this presentation, we would like to demonstrate a holistic picture of the convergence of AI and GIScience and its consequences on human society by exploring AI-generated spoofing in geography.

Abstract Information

This abstract is already part of a session. View the session here.

To access contact information login