AI Localism in Practice: Examining How Cities Govern AI


Report by Sara Marcucci, Uma Kalkar, and Stefaan Verhulst: “…serves as a primer for policymakers and practitioners to learn about current governance practices and inspire their own work in the field. In this report, we present the fundamentals of AI governance, the value proposition of such initiatives, and their application in cities worldwide to identify themes among city- and state-led governance actions. We close with ten lessons on AI localism for policymakers, data, AI experts, and the informed public to keep in mind as cities grow increasingly ‘smarter’, which include: 

  • Principles provide a North Star for governance;
  • Public engagement provides a social license;
  • AI literacy enables meaningful engagement;
  • Tap into local expertise;
  • Innovate in how transparency is provided;
  • Establish new means for accountability and oversight;
  • Signal boundaries through binding laws and policies;
  • Use procurement to shape responsible AI markets;
  • Establish data collaboratives to tackle asymmetries; and
  • Make good governance strategic.

Considered together, we look to use our understanding of governance practices, local AI governance examples, and the ten overarching lessons to create an incipient framework for implementing and assessing AI localism initiatives in cities around the world….(More)”

Global Review of Smart City Governance Practices


Report by UN Habitat: “Through smart city initiatives, digital technologies are increasingly applied in cities to modernize city operations and transform service delivery. The ongoing digital transformation provides new opportunities but also creates challenges, and it is increasingly apparent that delivering effective urban digital services is a complex task. Nowadays, smart city projects are typically driven by technology and little attention is given to governance dynamics. In addition, the novelty and complexity of many smart city initiatives make it difficult for public sector organizations to fully grasp how to effectively manage digital transformation processes.

As many cities and public sector organizations across the world have been experimenting with smart city initiatives, their actions have generated a data-rich environment from which to learn. As such, this report features findings from a systematic literature review and a global online survey completed by approximately 300 respondents, who have reported on the smart city governance practices of more than 250 municipalities in Africa, Asia, Europe, Latin America, and North America.

With the objective to support both urban managers and practitioners, the report highlights several dimensions for effective smart city governance and ways to foster a people-centered approach to smart cities. It serves as a knowledge resource to present best practices, gaps in smart city governance mechanisms, and the various elements to consider when governing the planning and implementation of smart city initiatives.

The report is part of UN-Habitat’s strategy to promote a people-centered approach to digital transformation supporting local governments in establishing the right capacities, regulatory frameworks, collaborations and arrangements for using technology to advance human developments and show commitment to human rights, both in online and offline environments…(More)”.

Urban governance and civic capital: analysis of an evolving concept


Paper by Jen Nelles & David A. Wolfe: “This article argues that the concept of civic capital affords considerable insight into systems of urban economic development, usefully bridging gaps in both institution-centric and social capital approaches. While the concept has been applied in the literature on urban governance and economic development, its use has been fragmentary and has not seen broad engagement. This review of the state of the literature situates the concept of civic capital relative to existing literature in the field, highlights its relationship to other concepts, and reviews several qualitative approaches that apply the concept to case studies. It provides an overview of the concept and a description of the way it has developed alongside the rich literature on governance and social capital in urban development to illustrate its potential for further analytical study….(More)”.

Algorithms Quietly Run the City of DC—and Maybe Your Hometown


Article by Khari Johnson: “Washington, DC, IS the home base of the most powerful government on earth. It’s also home to 690,000 people—and 29 obscure algorithms that shape their lives. City agencies use automation to screen housing applicants, predict criminal recidivism, identify food assistance fraud, determine if a high schooler is likely to drop out, inform sentencing decisions for young people, and many other things.

That snapshot of semiautomated urban life comes from a new report from the Electronic Privacy Information Center (EPIC). The nonprofit spent 14 months investigating the city’s use of algorithms and found they were used across 20 agencies, with more than a third deployed in policing or criminal justice. For many systems, city agencies would not provide full details of how their technology worked or was used. The project team concluded that the city is likely using still more algorithms that they were not able to uncover.

The findings are notable beyond DC because they add to the evidence that many cities have quietly put bureaucratic algorithms to work across their departments, where they can contribute to decisions that affect citizens’ lives.

Government agencies often turn to automation in hopes of adding efficiency or objectivity to bureaucratic processes, but it’s often difficult for citizens to know they are at work, and some systems have been found to discriminate and lead to decisions that ruin human lives. In Michigan, an unemployment-fraud detection algorithm with a 93 percent error rate caused 40,000 false fraud allegations. A 2020 analysis by Stanford University and New York University found that nearly half of federal agencies are using some form of automated decisionmaking systems…(More)”.

Hyperlocal: Place Governance in a Fragmented World


Book by By Jennifer S. Vey and Nate Storring: “Many of America’s downtowns, waterfronts, and innovation districts have experienced significant revitalization and reinvestment in recent years, but concentrated poverty and racial segregation remain persistent across thousands of urban, suburban, and rural neighborhoods. The coronavirus pandemic magnified this sustained and growing landscape of inequality.

Uneven patterns of economic growth and investment require a shift in how communities are governed and managed. This shift must take into account the changing socioeconomic realities of regions and the pressing need to bring inclusive economic growth and prosperity to more people and places.

In this context, place-based (“hyperlocal”) governance structures in the United States and around the globe have been both part of the problem and part of the solution. These organizations range from community land trusts to business improvement districts to neighborhood councils. However, very little systematic research has documented the full diversity and evolution of these organizations as part of one interrelated field. Hyperlocal helps fill that gap by describing the challenges and opportunities of “place governance.”

The chapters in Hyperlocal explore both the tensions and benefits associated with governing places in an increasingly fragmented—aneholders a structure through which to share ideas, voice concerns, advocate for investments, and co-design strategies with others both inside and outside their place. They also discuss how place governance can serve the interests of some stakeholders over others, in turn exacerbating wealth-based inequities within and across communities. Finally, they highlight innovative financing, organizing, and ownership models for creating and sustaining more effective and inclusive place governance structures…(More)”.

AI & Cities: Risks, Applications and Governance


Report by UN Habitat: “Artificial intelligence is manifesting at an unprecedented rate in urban centers, often with significant risks and little oversight. Using AI technologies without the appropriate governance mechanisms and without adequate consideration of how they affect people’s human rights can have negative, even catastrophic, effects.

This report is part of UN-Habitat’s strategy for guiding local authorities in realizing a people-centered digital transformation process in their cities and settlements…(More)”.

Smart cities: reviewing the debate about their ethical implications


Paper from Marta Ziosi, Benjamin Hewitt, Prathm Juneja, Mariarosaria Taddeo & Luciano Floridi: “This paper considers a host of definitions and labels attached to the concept of smart cities to identify four dimensions that ground a review of ethical concerns emerging from the current debate. These are: (1) network infrastructure, with the corresponding concerns of control, surveillance, and data privacy and ownership; (2) post-political governance, embodied in the tensions between public and private decision-making and cities as post-political entities; (3) social inclusion, expressed in the aspects of citizen participation and inclusion, and inequality and discrimination; and (4) sustainability, with a specific focus on the environment as an element to protect but also as a strategic element for the future. Given the persisting disagreements around the definition of a smart city, the article identifies in these four dimensions a more stable reference framework within which ethical concerns can be clustered and discussed. Identifying these dimensions makes possible a review of the ethical implications of smart cities that is transversal to their different types and resilient towards the unsettled debate over their definition…(More)”.

How to stop our cities from being turned into AI jungles


Stefaan G. Verhulst at The Conversation: “As artificial intelligence grows more ubiquitous, its potential and the challenges it presents are coming increasingly into focus. How we balance the risks and opportunities is shaping up as one of the defining questions of our era. In much the same way that cities have emerged as hubs of innovation in culture, politics, and commerce, so they are defining the frontiers of AI governance.

Some examples of how cities have been taking the lead include the Cities Coalition for Digital Rights, the Montreal Declaration for Responsible AI, and the Open Dialogue on AI Ethics. Others can be found in San Francisco’s ban of facial-recognition technology, and New York City’s push for regulating the sale of automated hiring systems and creation of an algorithms management and policy officer. Urban institutes, universities and other educational centres have also been forging ahead with a range of AI ethics initiatives.

These efforts point to an emerging paradigm that has been referred to as AI Localism. It’s a part of a larger phenomenon often called New Localism, which involves cities taking the lead in regulation and policymaking to develop context-specific approaches to a variety of problems and challenges. We have also seen an increased uptake of city-centric approaches within international law frameworks

Below are ten principles to help systematise our approach to AI Localism. Considered together, they add up to an incipient framework for implementing and assessing initiatives around the world:…(More)”.

Innovation in the Public Sector: Smarter States, Services and Citizens


Book by Fatih Demir: “The book discusses smart governments and innovation in the public sector. In hopes of arriving at a clear definition of innovation in the field of public administration, the volume provides a wide survey of global policies and practices, especially those aimed at reducing bureaucracy and using information-communication technologies in public service delivery. Chapters look at current applications across countries and multiple levels of government, from public innovation labs in the UK to AI in South Korea. Providing concrete examples of innovation culture at work in public institutions, this volume will be of use to researchers and students studying new public management, public service delivery, and innovation as well as practitioners and professionals working in various public agencies…(More)”.

The Public Good and Public Attitudes Toward Data Sharing Through IoT


Paper by Karen Mossberger, Seongkyung Cho and Pauline Cheong: “The Internet of Things has created a wealth of new data that is expected to deliver important benefits for IoT users and for society, including for the public good. Much of the literature has focused on data collection through individual adoption of IoT devices, and big data collection by companies with accompanying fears of data misuse. While citizens also increasingly produce data as they move about in public spaces, less is known about citizen support for data collection in smart city environments, or for data sharing for a variety of public-regarding purposes. Through a nationally representative survey of over 2,000 respondents as well as interviews, we explore the willingness of citizens to share their data with different parties and in various circumstances, using the contextual integrity framework, the literature on the ‘publicness’ of organizations, and public value creation. We describe the results of the survey across different uses, for data sharing from devices and for data collection in public spaces. We conduct multivariate regression to predict individual characteristics that influence attitudes toward use of IoT data for public purposes. Across different contexts, from half to 2/3 of survey respondents were willing to share data from their own IoT devices for public benefits, and 80-93% supported the use of sensors in public places for a variety of collective benefits. Yet government is less trusted with this data than other organizations with public purposes, such as universities, nonprofits and health care institutions. Trust in government, among other factors, was significantly related to data sharing and support for smart city data collection. Cultivating trust through transparent and responsible data stewardship will be important for future use of IoT data for public good…(More)”.