Integrative urban AI to expand coverage, access, and equity of urban data

Howe, Bill; Brown, J.; Han, Bin; Herman, Bernease; Weber, Nicholas; Yan, An; Yang, Sean T.; Yang, Yiwei

doi:10.1140/epjs/s11734-022-00475-z

Cited by 5 publications

(2 citation statements)

References 49 publications

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“…An overlapping but distinct area of research focuses on the role of AI in the built environment, so-called urban AI [1,42,56,57,67,73,79]. Many application contexts here are mobility-related, for example smart electric vehicle charging [1]; autonomous vehicles [56]; and automated parking control systems [67].…”

Section: Public and Urban Aimentioning

confidence: 99%

Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute

Alfrink,

Keller,

Doorn

et al. 2023

Preprint

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Local governments increasingly use artificial intelligence (AI) for automated decision-making. Contestability, making systems responsive to dispute, is a way to ensure they respect human rights to autonomy and dignity. We investigate the design of public urban AI systems for contestability through the example of camera cars: human-driven vehicles equipped with image sensors. Applying a provisional framework for contestable AI, we use speculative design to create a concept video of a contestable camera car. Using this concept video, we then conduct semi-structured interviews with 17 civil servants who work with AI employed by a large northwestern European city. The resulting data is analyzed using reflexive thematic analysis to identify the main challenges facing the implementation of contestability in public AI. We describe how civic participation faces issues of representation, public AI systems should integrate with existing democratic practices, and cities must expand capacities for responsible AI development and operation. CCS CONCEPTS• Human-centered computing → Empirical studies in interaction design; • Applied computing → Computing in government.

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Section: Public and Urban Aimentioning

confidence: 99%

Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute

Alfrink,

Keller,

Doorn

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Howe and co-workers aim to enable holistic research on city dynamics, steering artificial intelligence (AI) research attention away from project-oriented, societally harmful applications (such as facial recognition) and towards foundational questions in mobility, participatory governance, and justice in their article “Integrative Urban AI to Expand coverage, Access, and Equity of Urban Data” [ 13 ]. By making available high-quality, multi-variate, cross-scale data for research, the authors link the macro study of cities as complex systems with the reductionist view of cities as an assembly of independent prediction tasks.…”

mentioning

confidence: 99%