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)”.

Digital Technology Demands A New Political Philosophy


Essay by Steven Hill: “…It’s not just that digital systems are growing more ubiquitous. They are becoming more capable. Allowing for skepticism of the hype around AI, it is unarguable that computers are increasingly able to do things that we would previously have seen as the sole province of human beings — and in some cases do them better than us. That trend is unlikely to reverse and appears to be speeding up.

The result is that increasingly capable technologies are going to be a fundamental part of 21st-century life. They mediate a growing number of our deeds, utterances and exchanges. Our access to basic social goods — credit, housing, welfare, educational opportunity, jobs — is increasingly determined by algorithms of hidden design and obscure provenance. Computer code has joined market forces, communal tradition and state coercion in the first rank of social forces. We’re in the early stages of the digital lifeworld: a delicate social system that links human beings, powerful machines and abundant data in a swirling web of great complexity.

The political implications are clear to anyone who wants to see them: those who own and control the most powerful digital technologies will increasingly write the rules of society itself. Software engineers are becoming social engineers. The digital is political….

For the last few decades, digital technology has not only been developed, but also regulated, within the same intellectual paradigm: that of market individualism. Within this paradigm, the market is seen not only as a productive source of innovation, but as a reliable regulator of market participants too: a self-correcting ecosystem which can be trusted to contain the worst excesses of its participants.

“The question is not whether Musk or Zuckerberg will make the ‘right’ decision with the power at their disposal — it’s why they are allowed that power at all.”

This way of thinking about technology emphasizes consumer choice (even when that choice is illusory), hostility to government power (but ambivalence about corporate power), and individual responsibility (even at the expense of collective wellbeing). In short, it treats digital technology as a chiefly economic phenomenon to be governed by the rules and norms of the marketplace, and not as a political phenomenon to be governed by the rules and norms of the forum.

The first step in becoming a digital republican is recognizing that this tension — between economics and politics, between capitalism and democracy — is likely to be among the foremost political battlegrounds of the digital age. The second step is to argue that the balance has swung too far to one side, and it is overdue for a correction….(More)”.

“Co-construction” in Deliberative Democracy: Lessons from the French Citizens’ Convention for Climate


Paper by L.G. Giraudet et al: “Launched in 2019, the French Citizens’ Convention for Climate (CCC) tasked 150 randomly-chosen citizens with proposing fair and effective measures to fight climate change. This was to be fulfilled through an “innovative co-construction procedure,” involving some unspecified external input alongside that from the citizens. Did inputs from the steering bodies undermine the citizens’ accountability for the output? Did co-construction help the output resonate with the general public, as is expected from a citizens’ assembly? To answer these questions, we build on our unique experience in observing the CCC proceedings and documenting them with qualitative and quantitative data. We find that the steering bodies’ input, albeit significant, did not impair the citizens’ agency, creativity and freedom of choice. While succeeding in creating consensus among the citizens who were involved, this co-constructive approach however failed to generate significant support among the broader public. These results call for a strengthening of the commitment structure that determines how follow-up on the proposals from a citizens’ assembly should be conducted…(More)”.

Systems thinking for civil servants


UK Gov: “The guidance is intended for civil servants working all over government, regardless of grade, department, background or profession.

The documents include:

  • an introduction to systems thinking, a short summary of what systems thinking is, when it is useful and why it can be beneficial to your work
  • the systems thinking journey, which expands on the content within the introduction to systems thinking and maps 5 systems thinking principles to different stages of the policy design process
  • the systems thinking toolkit, which contains step-by-step instructions on how to use 11 systems thinking tools
  • the systems thinking case study bank, which contains a collection of 14 personal testimonials from civil servants on their experiences of using systems thinking in their work

This suite of documents aims to act as a springboard into systems thinking for civil servants unfamiliar with this approach. We introduce a small sample of systems thinking concepts and tools, chosen due to their accessibility and alignment to civil service policy development, but which is by no means comprehensive. We hope this acts as a first step towards using systems thinking approaches to solve complex problems and we strongly encourage the reader to go on to explore the wider systems thinking field further. These documents are ‘beta versions’ which we hope to update in the future in response to user feedback….(More)”.

Rethinking Law


Book edited by Amy Kapczynski: “Bringing together some of today’s top legal thinkers, this volume reimagines law in the twenty-first century, zeroing in on the most vibrant debates among legal scholars today. Going beyond constitutional jurisprudence as conventionally understood, contributors show the ways in which legal thinking has bolstered rather than corrected injustice. If conservative approaches have been well served by court-centered change, contributors to Rethinking Law consider how progressive ones might rely on movement-centered, legislative, and institutional change. In other words, they believe that the problems we face today are vastly bigger than can be addressed by litigation. The courts still matter, of course, but they should be less central to questions about social justice.

Contributors describe how constitutional law supported a system of economic inequality; how we might rethink the First Amendment in the age of the internet; how deeply racial bias is embedded in our laws; and what kinds of changes are necessary. They ask which is more important: the laws or how they are enforced? Rethinking Law considers these questions with an eye toward a legal system that truly supports a just society…(More)”.