GeoAI, counter-AI, and human geography

Autor(en)

Krzysztof Janowicz, Renee Sieber, Jeremy Crampton

Abstrakt

This conversation inaugurates a new venture for Dialogues in Human Geography in which we host a discussion on topics of concern to our readers. Inspired by the underlying ethos of the journal as a place for dialogue, this is neither an interview nor an article, but rather an opportunity to bring together people with a range of views. In this discussion, we begin by tackling the issue of artificial intelligence and machine learning in geography, sometimes called GeoAI (geographic artificial intelligence). What is at stake with this development? We discuss how the legacy of the critical GIS movement, and specifically what Renée Sieber calls ‘counter-AI’, may yet have a role to play. For Krzysztof Janowicz, geographers are just getting started with GeoAI and many exciting developments lie ahead. Yet both sound a note of caution about data representation, bias, and blackboxing algorithms, as well as the need for accountability and how, ultimately, critique should be situated. The conversation took place in July 2022, and has been edited for clarity.

Organisation(en)

Institut für Geographie und Regionalforschung

Externe Organisation(en)

McGill University, Newcastle University, University of California, Santa Barbara

Journal

Dialogues in Human Geography

Band

12

Seiten

446-458

Anzahl der Seiten

13

DOI

https://doi.org/10.1177/20438206221132510

Publikationsdatum

11-2022

Peer-reviewed

Ja

ÖFOS 2012

507017 Sozialgeographie, 507003 Geoinformatik, 102001 Artificial Intelligence

Schlagwörter

ASJC Scopus Sachgebiete

Geography, Planning and Development

Link zum Portal

https://ucris.univie.ac.at/portal/de/publications/geoai-counterai-and-human-geography(376f2ad0-d16d-4225-936e-4c984237cb14).html