Smart City Gnosys

Smart city article details

Title	Mapping The Smart City: Participatory Approaches To Xai
ID_Doc	36388
Authors	Gupta S.
Year	2023
Published	DIS 2023 Companion: Companion Publication of the 2023 ACM Designing Interactive Systems Conference
DOI	http://dx.doi.org/10.1145/3563703.3593063
Abstract	How can we explain the broad and uneven spatial effects of Machine Learning (ML) algorithms that mediate the everyday lives of smart city residents? The discriminatory impacts of civic algorithms remain opaque to city inhabitants and experts alike. Current Explainable AI (XAI) approaches, while influential, are limited in their ability to explain the inequitable algorithmic spatial effects in an accessible, critical, and grounded manner. My thesis explores the potential of participatory mapping as a critical and collaborative technique to address these limits. My work draws on (1) scholarship on critical data and algorithmic studies, (2) qualitative research with domain experts from history and criminology, and (3) participatory mapping sessions with city residents and ML practitioners. Ultimately, my research will inform the design of a toolkit to help people in classrooms and community centers collaboratively reflect on how city residents may unevenly experience the impact of artificially intelligent systems guiding contemporary urban life. © 2023 Owner/Author.
Author Keywords	Explainable AI; Mapping; Participatory Methods; Smart city; Transparency; Visualization

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