Symposium on Human Dynamics Research - Participatory AI
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: Centennial Ballroom C, Hyatt Regency, Third Floor
Type: Paper,
Theme: Toward More Just Geographies
Curated Track: AAG's GeoEthics Initiative and Related Effort
Sponsor Group(s):
Digital Geographies Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Jiaxin Du
Renee Sieber McGill University
Xiaofan Liang Georgia Institute of Technology
Xinyue Ye Texas A&M University
Chair(s):
Description:
Community-engaged processes (i.e., participatory planning) have been suggested as a better approach to local decision-making than technocratic and authority-led models. Improving participation in urban geography and planning has been promoted by organizations such as International Association for Public Participation, Organization for Economic Cooperation and Development (OECD), and the United Nations in its sustainable development goals.
Increasingly participatory practices are impacted by online tools and data-driven workflows, which for example underpin the concept of smart cities and Urban AI (Afzalan et al., 2017; Cardullo and Kitchin, 2019). Simultaneously participatory practices are challenged by “extra-urban” platform urbanism (Rozen and Alvarez-Leon, 2022). Enter Artificial Intelligence (AI), which adds new opportunities, complexities (Wilson, 2022; Wirtz and Müller, 2022), and wicked problems (Rittel and Webber 1973). It is therefore critical to explore how AI can support or even transform traditional participatory practices, which includes public consultation, decision support, stakeholder engagement, and up to citizen control.
Presentations (if applicable) and Session Agenda:
Xiaofan Liang, University of Michigan - Taubman College of Architecture |
Lessons from a human-in-the-loop machine learning approach to identify vacant, abandoned, and disinvested properties for City of Savannah |
Shiloh Deitz, Saint Louis University |
Outlier bias: AI classification of curb ramps, outliers, and context |
Rowan Converse, University of New Mexico |
Understanding consensus in labeled UAS images of waterfowl |
Renee Sieber, McGill University |
A Ladder of Citizen Participation with Artificial Intelligence |
Eliot Tretter, University of Calgary |
Digital Transformations of the Urban – Carbon – Labor Nexus: A Research Agenda |
Non-Presenting Participants
| Role | Participant |
|
| |
| |
| |
| |
| |
| |
| |
| |
| |
Symposium on Human Dynamics Research - Participatory AI
Description
Type: Paper,
Date: 3/26/2023
Time: 8:30 AM - 9:50 AM
Room: Centennial Ballroom C, Hyatt Regency, Third Floor
Contact the Primary Organizer
Jiaxin Du
jiaxin.du@tamu.edu
Session Sponsored By
