Author:
Inclezan Daniela,Pradanos Luis I.
Abstract
AI developments on smart cities, if not critical, risk making a flawed urban model more efficient. Instead, we suggest that AI should challenge the mainstream techno-optimistic approach to solving urban problems by dialoguing with other academic fields, questioning the dominant urban paradigm, and creating transformative solutions. We claim that doing differently, rather than doing better, may be smarter for cities and the common good.
This article is part of the special track on AI and Society.
Cited by
22 articles.
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