This empirical study of governance and ethics regarding the adoption of smart intersection in four US college towns, structured by the Governing Knowledge Commons (GKC) framework, calls for deliberative, slow-governance of public data to respect human rights and align with community norms.
This special issue brings together scholars from a range of disciplines to identify the human rights implications of algorithmic, biometric and smart city technologies and the means to govern them. In the editorial, we propose a framework for the analysis and design of human-rights-based smart cities.
This article critically examines how three AI initiatives articulate corporate responsibility for human rights regarding long-term risks posed by smart city AI systems.
The article explores the regulatory “grey zones” in the deployment of facial recognition (FRT) in policing in Brazil, and the policy and civic responses to them.
An analysis of the EU data protection legislation and the AI Act proposal to assess, in light of the principle of proportionality, whether or not law enforcement authorities should be prohibited from using these technologies in "real time".
Considering the rise of numerous smart city projects that impact fundamental rights in modern cities, this paper calls for the need to assess their cumulative effects on fundamental rights of city dwellers.
Smart cities need citizen participation, robust data protection, non-discrimination and AI governance to effectively address the challenges of ever-changing technologies, function creep and political apathy.
The use of new technologies, such as location-based information devices, can provide up-to-date and precise information regarding the challenges that older people face while moving around the city, but they pose privacy concerns at the same time.
European smart city technology development suffers from one-sided inputs and high compliance costs. Due to this developers may look into markets with lower standards for human rights compliance.
Is public concern for political microtargeting addressed on empirical grounds?
