Another World Is Possible: How to Reignite Social and Political Imagination


Book by Geoff Mulgan: “As the world confronts both the fast catastrophe of Covid and the slow crisis of climate change, we also face a third, less visible emergency: a crisis of imagination. Millions of us can picture the world going awry, yet our confident visions of the future are largely dominated by technology and hardware. Most citizens struggle to envisage how we could live better-improve our democracy, welfare, neighborhoods or education-fueling a pervasive, pessimistic resignation.

This book argues that, although the threats are real, our fatalism has overshot. Achieving a better future depends on creative imagination: the ability to see where we might want to go, and how we might want to get there. Political veteran Geoff Mulgan offers the lessons we can learn from the past and the methods we can use now to open up our thinking about the future; to discover how to look at things not only in terms of what they are, but also what they could be.

Drawing on social sciences, the arts, philosophy and history, Mulgan shows how we can recharge our collective imagination. At a time when the public wants to see transformational social change, he provides a roadmap for the future…(More)”.

Judging Deliberation: An Assessment of the Crowdsourced Icelandic Constitutional Project


Paper by Delia Popescu and Matthew Loveland: “This study explores deliberation as a lived experience between individuals engaged in putatively deliberative practices. While face-to-face deliberation is well documented, there are fewer empirical studies that address its online counterpart. The authors review current theoretical conceptualizations and operationalize a measure of deliberation, and then apply the measure to the case of the debate fostered by the Constitutional Council online public platform dedicated to drafting the Icelandic constitution – the first “crowdsourced” constitutional project in the world. This is the first effort to both quantitatively and qualitatively evaluate the nature of deliberation in the case of Iceland. Generally, this exploration is meant to identify and analyze markers of deliberation in a setting that aspires to foster such exchanges. The paper concludes by discussing the implications of this work for future political theory and related empirical investigation….(More).”

Democracy: by design and on the move


Essay by Erica Dorn and Federico Vaz: “We live in an era of hyper-mobility, marked by the mass movement of people virtually, trans-locally, and globally. More people are on the move than ever before in human history. Today, dispersed across the globe, there are between 272 million and one billion migrants. More than 15 million people worldwide live without nationality, and an even larger number of people live undocumented.

Much like James C. Scott, it can be tempting to think that the state has always seemed to be the enemy of ‘people who move around‘. For the kinetic elite, borders are thresholds of access. Meanwhile, for a growing number of displaced people, borders represent inhumane exclusion.

More than 15 million people worldwide live without nationality, and an even larger number of people live undocumented

Current democratic structures designed to be representative of the people cannot adapt to the increasing number of people on the move. As a result, an overwhelming gap exists between the rapidly changing reality of democracies made up of ineligible voters, and the need for inclusive participation in the democratic process.

In the US, several cities, including New York, have taken measures to pass non-citizen voting policies. These promote the inclusion of more residents in local elections. However, given generally low voter turnout, it will take more than voting rights to create more inclusive democracies…(More)”.

Reimagining the Request for Proposal


Article by Devon Davey, Heather Hiscox & Nicole Markwick : “In recent years, the social sector and the communities it serves have called for deep structural change to address our most serious social injustices. Yet one of the basic tools we use to fund change, the request for proposal (RFP), has remained largely unchanged. We believe that RFPs must become part of the larger call for systemic reform….

At first glance, the RFP process may seem neutral or fair. Yet RFPs are often designed by individuals in high-level positions without meaningful input from community members and frontline staff—those who are most familiar with social injustices and who often hold the least institutional power. What’s more, those who both issue and respond to RFPs often rely on their social capital to find and collaborate on RFP opportunities. Since social networks are highly homogeneous, RFP participation is limited to the professionals who have social connections to the issuer, resulting in a more limited pool of applicants.

This selection process is further compounded by the human propensity to hire people who look the same and who reflect similar ways of thinking. Social sector decision makers and power holders tend to be—among other identities—white. This lack of diversity, furthered by historical oppression, has ensured that white privilege and ways of working have come to dominate within the philanthropic and nonprofit sectors. This concentration of power and lack of diverse perspectives and experiences shaping RFPs results in projects failing to respond to the needs of communities and, in many cases, projects that directly perpetuate racism, colonialism, misogyny, ableism, sexism, and other forms of systemic and individual oppression.

The rigid structure of RFPs plays an important role in many of the negative outcomes of projects. Effective social change work is emergent, is iterative, and centers trust by nature. By contrast, RFPs frequently apply inflexible work scopes, limited timelines and budgets, and unproven solutions that are developed within the blinders of institutional power. Too often, funders force programs into implementation because they want to see results according to a specified plan. This rigidity can produce initiatives that are ineffective and removed from community needs. As consultant Joyce Lee-Ibarra says, “[RFPs] feel fundamentally transactional, when the work I want to do is relational.”…(More)”.

Global Struggle Over AI Surveillance


Report by the National Endowment for Democracy: “From cameras that identify the faces of passersby to algorithms that keep tabs on public sentiment online, artificial intelligence (AI)-powered tools are opening new frontiers in state surveillance around the world. Law enforcement, national security, criminal justice, and border management organizations in every region are relying on these technologies—which use statistical pattern recognition, machine learning, and big data analytics—to monitor citizens.

What are the governance implications of these enhanced surveillance capabilities?

This report explores the challenge of safeguarding democratic principles and processes as AI technologies enable governments to collect, process, and integrate unprecedented quantities of data about the online and offline activities of individual citizens. Three complementary essays examine the spread of AI surveillance systems, their impact, and the transnational struggle to erect guardrails that uphold democratic values.

In the lead essay, Steven Feldstein, a senior fellow at the Carnegie Endowment for International Peace, assesses the global spread of AI surveillance tools and ongoing efforts at the local, national, and multilateral levels to set rules for their design, deployment, and use. It gives particular attention to the dynamics in young or fragile democracies and hybrid regimes, where checks on surveillance powers may be weakened but civil society still has space to investigate and challenge surveillance deployments.

Two case studies provide more granular depictions of how civil society can influence this norm-shaping process: In the first, Eduardo Ferreyra of Argentina’s Asociación por los Derechos Civiles discusses strategies for overcoming common obstacles to research and debate on surveillance systems. In the second, Danilo Krivokapic of Serbia’s SHARE Foundation describes how his organization drew national and global attention to the deployment of Huawei smart cameras in Belgrade…(More)”.

Americans’ Views of Government: Decades of Distrust, Enduring Support for Its Role


Pew Research: “Americans remain deeply distrustful of and dissatisfied with their government. Just 20% say they trust the government in Washington to do the right thing just about always or most of the time – a sentiment that has changed very little since former President George W. Bush’s second term in office.

Chart shows low public trust in federal government has persisted for nearly two decades

The public’s criticisms of the federal government are many and varied. Some are familiar: Just 6% say the phrase “careful with taxpayer money” describes the federal government extremely or very well; another 21% say this describes the government somewhat well. A comparably small share (only 8%) describes the government as being responsive to the needs of ordinary Americans.

The federal government gets mixed ratings for its handling of specific issues. Evaluations are highly positive in some respects, including for responding to natural disasters (70% say the government does a good job of this) and keeping the country safe from terrorism (68%). However, only about a quarter of Americans say the government has done a good job managing the immigration system and helping people get out of poverty (24% each). And the share giving the government a positive rating for strengthening the economy has declined 17 percentage points since 2020, from 54% to 37%.

Yet Americans’ unhappiness with government has long coexisted with their continued support for government having a substantial role in many realms. And when asked how much the federal government does to address the concerns of various groups in the United States, there is a widespread belief that it does too little on issues affecting many of the groups asked about, including middle-income people (69%), those with lower incomes (66%) and retired people (65%)…(More)”.

Aligning Artificial Intelligence with Humans through Public Policy



Paper by John Nay and James Daily: “Given that Artificial Intelligence (AI) increasingly permeates our lives, it is critical that we systematically align AI objectives with the goals and values of humans. The human-AI alignment problem stems from the impracticality of explicitly specifying the rewards that AI models should receive for all the actions they could take in all relevant states of the world. One possible solution, then, is to leverage the capabilities of AI models to learn those rewards implicitly from a rich source of data describing human values in a wide range of contexts. The democratic policy-making process produces just such data by developing specific rules, flexible standards, interpretable guidelines, and generalizable precedents that synthesize citizens’ preferences over potential actions taken in many states of the world. Therefore, computationally encoding public policies to make them legible to AI systems should be an important part of a socio-technical approach to the broader human-AI alignment puzzle. Legal scholars are exploring AI, but most research has focused on how AI systems fit within existing law, rather than how AI may understand the law. This Essay outlines research on AI that learn structures in policy data that can be leveraged for downstream tasks. As a demonstration of the ability of AI to comprehend policy, we provide a case study of an AI system that predicts the relevance of proposed legislation to a given publicly traded company and its likely effect on that company. We believe this represents the “comprehension” phase of AI and policy, but leveraging policy as a key source of human values to align AI requires “understanding” policy. We outline what we believe will be required to move toward that, and two example research projects in that direction. Solving the alignment problem is crucial to ensuring that AI is beneficial both individually (to the person or group deploying the AI) and socially. As AI systems are given increasing responsibility in high-stakes contexts, integrating democratically-determined policy into those systems could align their behavior with human goals in a way that is responsive to a constantly evolving society…(More)”.

In this small Va. town, citizens review police like Uber drivers


Article by Emily Davies: “Chris Ford stepped on the gas in his police cruiser and rolled down Gold Cup Drive to catch the SUV pushing 30 mph in a 15 mph zone. Eleven hours and 37 minutes into his shift, the corporal was ready for his first traffic stop of the day.

“Look at him being sneaky,” Fordsaid, his blue lights flashing on a quiet road in this small town where a busy day could mean animals escaped from a local slaughterhouse.

Ford parked, walked toward the SUV and greeted the man who had ignored the speed limit at exactly the wrong time.

“I was doing 15,” said the driver, a Black man in a mostly White neighborhood of a mostly White town.

The officertook his license and registration back to the cruiser.

“Every time I pull over someone of color, they’re standoffish with me. Like, ‘Here’s a White police officer, here we go again.’ ” Ford, 56, said. “So I just try to be nice.”

Ford knew the stop would be scrutinized — and not just by the reporter who was allowed to ride along on his shift.

After every significant encounter with residents, officers in Warrenton are required to hand out a QR code, which is on the back of their business card, asking for feedback on the interaction. Through a series of questions, citizens can use a star-based system to rate officers on their communication, listening skills and fairness. The responses are anonymous and can be completed any time after the interaction to encourage people to give honest assessments. The program, called Guardian Score, is supposed to give power to those stopped by police in a relationship that has historically felt one-sided — and to give police departments a tool to evaluate their force on more than arrests and tickets.

“If we started to measure how officers are treating community members, we realized we could actually infuse this into the overall evaluation process of individual officers,” said Burke Brownfeld, a founder of Guardian Score and a former police officer in Alexandria. “The definition of doing a good job could change. It would also include: How are your listening skills? How fairly are you treating people based on their perception?”…(More)”.

Serving citizens: measuring the performance of services for a better user experience


OECD Report: “Measuring the performance of services and making effective use of the results are critical for designing and delivering policies to improve people’s lives. Improving user satisfaction with public services is an objective in many OECD countries and is one of the indicators in the 2030 Sustainable Development Goal 16 of “Building effective, accountable and inclusive institutions at all levels”. This paper explores the use of satisfaction indicators to monitor citizens’ and users’ experience with public services. It finds that satisfaction indicators provide an accurate aggregate account of the factors driving service performance. At the same time, it shows that additional measures are needed to monitor the access, responsiveness and quality of public services, as well as to identify concrete areas of improvement. This paper provides examples of how countries use performance data in decision making (both subjective users’ experience and objective service outputs). It also highlights common challenges and good practices to strengthen performance measurement and management…(More)”.

The Need for New Methods to Establish the Social License for Data Reuse


Stefaan G. Verhulst & Sampriti Saxena at Data & Policy: “Data has rapidly emerged as an invaluable asset in societies and economies, leading to growing demands for innovative and transformative data practices. One such practice that has received considerable attention is data reuse. Data reuse is at the forefront of an emerging “third wave of open data” (Verhulst et al., 2020). Data reuse takes place when data collected for one purpose is used subsequently for an alternative purpose, typically with the justification that such secondary use has potential positive social impact (Choo et al., 2021). Since data is considered a non-rivalrous good, it can be used an infinite number of times, each use potentially bringing new insights and solutions to public problems (OECD, 2021). Data reuse can also lead to lower project costs and more sustainable outcomes for a variety of data-enabled initiatives across sectors.

A social license, or social license to operate, captures multiple stakeholders’ acceptance of standard practices and procedures (Kenton, 2021). Stakeholders, in this context, could refer to both the public and private sector, civil society, and perhaps most importantly, the public at large. Although the term originated in the context of extractive industries, it is now applied to a much broader range of businesses including technologies like artificial intelligence (Candelon et al., 2022). As data becomes more commonly compared to exploitative practices like mining, it is only apt that we apply the concept of social licenses to the data ecosystem as well (Aitken et al., 2020).

Before exploring how to achieve social licenses for data reuse, it is important to understand the many factors that affect social licenses….(More)”.