Generative AI and the Urban AI Policy Challenges Ahead: Trustworthy for Whom?
This Special Issue of Transforming Government: People, Process and Policy addresses the accelerating convergence between Generative AI (GenAI), Urban AI, and public governance. As algorithmic systems are deployed across domains such as transport, welfare, housing, education, and security, cities bec...
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universidad del País Vasco |
| Repositorio: | Addi. Archivo Digital para la Docencia y la Investigación |
| OAI Identifier: | oai:addi.ehu.eus:10810/76245 |
| Acceso en línea: | http://hdl.handle.net/10810/76245 |
| Access Level: | acceso abierto |
| Palabra clave: | GenAI urban AI trustworthy AI smart cities innovation systems and policies algorithmic governance digital inclusion applied economics public policy epistemic authority |
| Sumario: | This Special Issue of Transforming Government: People, Process and Policy addresses the accelerating convergence between Generative AI (GenAI), Urban AI, and public governance. As algorithmic systems are deployed across domains such as transport, welfare, housing, education, and security, cities become both laboratories of innovation and battlegrounds of democratic legitimacy. Trustworthy AI has emerged as a policy imperative—but the question remains: trustworthy for whom? Rather than treating trust as a static feature of technical systems, this Special Issue reframes it as a relational, contested, and institutionally mediated concept—fundamental to the legitimacy of public action in the digital age. Contributions are encouraged that explore GenAI not only as a technological advance, but as a governance challenge that reconfigures discretion, authority, and the social contract between citizens and institutions. Inspired by Richard R. Nelson’s enduring metaphor of “The Moon and the Ghetto”—which captures the asymmetries between technological sophistication and social equity—this Special Issue invites a renewed interrogation of how AI policy can bridge systemic inequalities rather than entrench them. Urban governance frameworks must move beyond techno-solutionism to embed pluralism, accountability, and public value at the core of GenAI deployments. Scholars, policymakers, and practitioners are invited to submit empirical, theoretical, and policy-oriented contributions that critically examine how Urban AI can be governed with legitimacy, reflexivity, and justice. |
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