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This chapter frames Disney as a lab for public technology applications and uses it to explore information governance challenges associated with pervasive location monitoring, facial recognition, data integration across contexts, and the seamlessness of smart experiences and interactions, facilitated by MagicBands. It employs Disney as an analytical model for potential challenges and governance strategies in other public applications alongside a number of privacy challenges.
The rise of 'smart' – or technologically advanced – cities has been well documented, while governance of such technology has remained unresolved. Integrating surveillance, AI, automation, and smart tech within basic infrastructure as well as public and private services and spaces raises a complex set of ethical, economic, political, social, and technological questions. The Governing Knowledge Commons (GKC) framework provides a descriptive lens through which to structure case studies examining smart tech deployment and commons governance in different cities. This volume deepens our understanding of community governance institutions, the social dilemmas communities face, and the dynamic relationships between data, technology, and human lives. For students, professors, and practitioners of law and policy dealing with a wide variety of planning, design, and regulatory issues relating to cities, these case studies illustrate options to develop best practice. Available through Open Access, the volume provides detailed guidance for communities deploying smart tech.
Smart cities require trusted governance and engaged citizens, especially governance of intelligence and intelligence-enabled control. In some very important respects, smart cities should remain dumb, and that will take governance. This introduction provides an overview of the book’s aims, structure, and contributions of individual chapters.
This chapter outlines a forward-looking, intelligent approach to thinking through and evaluating supposedly smart systems. First, it clarifies that it is not the city that is smart. Rather, smartness is better understood and evaluated in terms of affordances supposedly smart tools provide actual people. Who gains what kinds of intelligence? For what purposes? Subject to what governance? Second, it identifies and addresses key challenges to intelligent governance in smart city projects. Cities must move beyond a transactional mindset, appreciate how smart systems become an integral part of the built environment, and develop appropriate governance. Third, it proposes an approach to smart city governance grounded in local, contextual norms and scaffolded by key questions to ask throughout smart city planning, procurement, implementation, and management processes. This approach is importantly not oriented around Elinor Ostrom’s famous design principles, but rather a shared set of evaluative questions to guide decision-making.
Smart cities require much more than smart tech. Cities need trusted governance and engaged citizens. Integrating surveillance, AI, automation, and smart tech within basic infrastructure, as well as public and private services and spaces, raises a complex set of ethical, economic, political, social, and technological questions that requires systematic study and careful deliberation. Throughout this book, authors have asked contextual research questions and explored compelling but often distinct answers guided by the shared structure of the GKC framework. The Conclusion discusses some of the key themes across chapters in this volume, considering lessons learned and implications for future research.
Smart city technology has its value and its place; it isn’t automatically or universally harmful. Urban challenges andopportunities addressed via smart technology demand systematic study, examining general patterns and local variations as smart city practices unfold around the world. Smart cities are complex blends of community governance institutions, social dilemmas that cities face, and dynamic relationships among information and data, technology, and human lives. Some of those blends are more typical and common. Some are more nuanced in specific contexts. This volume uses the Governing Knowledge Commons (GKC) framework to sort out relevant and important distinctions. The framework grounds a series of case studies examining smart technology deployment and use in different cities. This chapter briefly explains what that framework is, why and how it is a critical and useful tool for studying smart city practices, and what the key elements of the framework are. The GKC framework is useful both here and can be used in additional smart city case studies in the future.
Governing Privacy in Knowledge Commons explores how privacy impacts knowledge production, community formation, and collaborative governance in diverse contexts, ranging from academia and IoT, to social media and mental health. Using nine new case studies and a meta-analysis of previous knowledge commons literature, the book integrates the Governing Knowledge Commons framework with Helen Nissenbaum's Contextual Integrity framework. The multidisciplinary case studies show that personal information is often a key component of the resources created by knowledge commons. Moreover, even when it is not the focus of the commons, personal information governance may require community participation and boundaries. Taken together, the chapters illustrate the importance of exit and voice in constructing and sustaining knowledge commons through appropriate personal information flows. They also shed light on the shortcomings of current notice-and-consent style regulation of social media platforms. This title is also available as Open Access on Cambridge Core.
The rise of social media has raised questions about the vitality of privacy values and concerns about threats to privacy. The convergence of politics with social media use amplifies the privacy concerns traditionally associated with political organizing, particularly when marginalized groups and minority politics are involved. Despite the importance of these issues, there has been little empirical exploration of how privacy governs political activism and organizing in online environments. This chapter explores how privacy concerns shape political organizing on Facebook, through detailed case studies of how groups associated with March for Science, Day Without Immigrants (“DWI”), and Women’s March govern information flows. These cases address distinct issues, while operating in similar contexts and on the same timescales, allowing for the exploration of privacy in governance of personal information flows in political organizing and Facebook sub-communities. Privacy practices and concerns differed between the cases, depending on factors such as the nature of the group, the political issues it confronts, and its relationships to other organizations or movements.