The World Needs Many More Public Servants


Article by Ngaire Woods: “The private sector alone cannot make the massive investments required to achieve a carbon-neutral future and hold societies together through the twenty-first century’s economic, political, and climate-related crises. To enable governments to do so, policymakers must avoid austerity measures and recruit high-quality personnel….Policymakers around the world will need to address a confluence of economic, political, and climate-related shocks in 2023. While governments cannot solve these crises alone, deft political leadership will be crucial to holding societies together and enabling communities and businesses to step up and do their part. What the world desperately needs is public servants and politicians who are willing and able to innovate…

In an ideal world, the magnitude of humanity’s current challenges would attract some of the most creative and highly motivated citizens to public service. In many countries, however, public-sector pay has sunk to levels that make it increasingly difficult to attract top talent. In the United Kingdom, as the Financial Times’ Martin Wolf notes, while overall real private-sector pay has increased by 5.5% since 2010, public-sector wages have fallen by 5.9%, with much of that decline happening in the last two years. The result is a personnel deficit at every level. Recent data from the National Health Service in England show a huge nurse shortfall. Other data show that teacher recruitments are well below target.

Too often, the public sector falls into a vicious cycle of cost-cutting and resignations. Nurses in the UK are overworked and many will likely succumb to exhaustion soon, leaving their remaining colleagues even more overburdened and demoralized. Another austerity wave will make it even harder to retain quality workers…(More)”.

A Comparative Study of Citizen Crowdsourcing Platforms and the Use of Natural Language Processing (NLP) for Effective Participatory Democracy


Paper by Carina Antonia Hallin: ‘The use of crowdsourcing platforms to harness citizen insights for policymaking has gained increasing importance in regional and national policy planning. Participatory democracy using crowdsourcing platforms includes various initiatives, such as generating ideas for new law reforms (Aitamurto and Landemore 2015], economic development, and solving challenges related to how to create inclusive social actions and interventions for better, healthier, and more prosperous local communities (Bentley and Pugalis, 2014). Such case observations, coupled with the increasing prevalence of internet-based communication, point to the real benefits of implementing participatory democracies on a mass scale in which citizens are invited to contribute their ideas, opinions, and deliberations (Salganik and Levy 2015). By adopting collective intelligence platforms, public authorities can harness local knowledge from citizens to find the right ‘policy mix’ and collaborate with citizens and relevant actors in the policymaking processes. This comparative study aims to validate the adoption of collective intelligence and artificial intelligence/natural language processing (NLP) on crowdsourcing platforms for effective participatory democracy and policymaking in local governments. The study compares 15 citizen crowdsourcing platforms, including Natural language Processing (NLP), for policymaking across Europe and the United States. The study offers a framework for working with citizen crowdsourcing platforms and exploring the usefulness of NLP on the platforms for effective participatory democracy…(More)”.

Open Secrets: Ukraine and the Next Intelligence Revolution


Article by Amy Zegart: “Russia’s invasion of Ukraine has been a watershed moment for the world of intelligence. For weeks before the shelling began, Washington publicly released a relentless stream of remarkably detailed findings about everything from Russian troop movements to false-flag attacks the Kremlin would use to justify the invasion. 

This disclosure strategy was new: spy agencies are accustomed to concealing intelligence, not revealing it. But it was very effective. By getting the truth out before Russian lies took hold, the United States was able to rally allies and quickly coordinate hard-hitting sanctions. Intelligence disclosures set Russian President Vladimir Putin on his back foot, wondering who and what in his government had been penetrated so deeply by U.S. agencies, and made it more difficult for other countries to hide behind Putin’s lies and side with Russia.

The disclosures were just the beginning. The war has ushered in a new era of intelligence sharing between Ukraine, the United States, and other allies and partners, which has helped counter false Russian narratives, defend digital systems from cyberattacks, and assisted Ukrainian forces in striking Russian targets on the battlefield. And it has brought to light a profound new reality: intelligence isn’t just for government spy agencies anymore…

The explosion of open-source information online, commercial satellite capabilities, and the rise of AI are enabling all sorts of individuals and private organizations to collect, analyze, and disseminate intelligence.

In the past several years, for instance, the amateur investigators of Bellingcat—a volunteer organization that describes itself as “an intelligence agency for the people”—have made all kinds of discoveries. Bellingcat identified the Russian hit team that tried to assassinate former Russian spy officer Sergei Skripal in the United Kingdom and located supporters of the Islamic State (also known as ISIS) in Europe. It also proved that Russians were behind the shootdown of Malaysia Airlines flight 17 over Ukraine. 

Bellingcat is not the only civilian intelligence initiative. When the Iranian government claimed in 2020 that a small fire had broken out in an industrial shed, two U.S. researchers working independently and using nothing more than their computers and the Internet proved within hours that Tehran was lying….(More)”.

Digital Transition Framework: An action plan for public-private collaboration


WEF Report: “The accelerated digital transition is unlocking economic and technology innovation, boosting growth, and enabling new forms of social engagement across the globe. Yet, the benefits from digital transformation have not been fully realized; compounded with macroeconomic and geopolitical headwinds that are forcing public-private leaders to make digital technology investment trade-offs. The Digital Transition Framework: An Action Plan for Public-Private Collaboration sets out concrete actions and leading examples to support governments achieve their digital transition goals in the face of uncertainty…(More)”.

Responsible AI in Africa: Challenges and Opportunities


Open Access Book edited by Damian Okaibedi Eke, Kutoma Wakunuma, and Simisola Akintoye: “In the last few years, a growing and thriving AI ecosystem has emerged in Africa. Within this ecosystem, there are local tech spaces as well as a number of internationally driven technology hubs and centres established by big tech companies such as Twitter, Google, Facebook, Alibaba Group, Huawei, Amazon and Microsoft have significantly increased the development and deployment of AI systems in Africa. While these tech spaces and hubs are focused on using AI to meet local challenges (e.g. poverty, illiteracy, famine, corruption, environmental disasters, terrorism and health crisis), the ethical, legal and socio-cultural implications of AI in Africa have largely been ignored. To ensure that Africans benefit from the attendant gains of AI, ethical, legal and socio-cultural impacts of AI need to be robustly considered and mitigated…(More)”.

The Market Power of Technology: Understanding the Second Gilded Age


Book by Mordecai Kurz: “Since the 1980s, the United States has regressed to a level of economic inequality not seen since the Gilded Age in the late nineteenth century. At the same time, technological innovation has transformed society, and a core priority of public policy has been promoting innovation. What is the relationship between economic inequality and technological change?

Mordecai Kurz develops a comprehensive integrated theory of the dynamics of market power and income inequality. He shows that technological innovations are not simply sources of growth and progress: they sow the seeds of market power. In a free market economy with intellectual property rights, firms’ control over technology enables them to expand, attain monopoly power, and earn exorbitant profits. Competition among innovators does not eliminate market power because technological competition is different from standard competition; it results in only one or two winners. Kurz provides a pioneering analysis grounded on quantifying technological market power and its effects on inequality, innovation, and economic growth. He outlines what causes market power to rise and fall and details its macroeconomic and distributional consequences.

Kurz demonstrates that technological market power tends to rise, increasing inequality of income and wealth. Unchecked inequality threatens the foundations of democracy: public policy is the only counterbalancing force that can restrain corporate power, attain more egalitarian distribution of wealth, and make democracy compatible with capitalism. Presenting a new paradigm for understanding today’s vast inequalities, this book offers detailed proposals to redress them by restricting corporate mergers and acquisitions, reforming patent law, improving the balance of power in the labor market, increasing taxation, promoting upward mobility, and stabilizing the middle class…(More)”.

Human-AI Teaming


Report by the National Academies of Sciences, Engineering, and Medicine: “Although artificial intelligence (AI) has many potential benefits, it has also been shown to suffer from a number of challenges for successful performance in complex real-world environments such as military operations, including brittleness, perceptual limitations, hidden biases, and lack of a model of causation important for understanding and predicting future events. These limitations mean that AI will remain inadequate for operating on its own in many complex and novel situations for the foreseeable future, and that AI will need to be carefully managed by humans to achieve their desired utility.

Human-AI Teaming: State-of-the-Art and Research Needs examines the factors that are relevant to the design and implementation of AI systems with respect to human operations. This report provides an overview of the state of research on human-AI teaming to determine gaps and future research priorities and explores critical human-systems integration issues for achieving optimal performance…(More)”

The Signal App and the Danger of Privacy at All Costs


Article by Reid Blackman: “…One should always worry when a person or an organization places one value above all. The moral fabric of our world is complex. It’s nuanced. Sensitivity to moral nuance is difficult, but unwavering support of one principle to rule them all is morally dangerous.

The way Signal wields the word “surveillance” reflects its coarsegrained understanding of morality. To the company, surveillance covers everything from a server holding encrypted data that no one looks at to a law enforcement agent reading data after obtaining a warrant to East Germany randomly tapping citizens’ phones. One cannot think carefully about the value of privacy — including its relative importance to other values in particular contexts — with such a broad brush.

What’s more, the company’s proposition that if anyone has access to data, then many unauthorized people probably will have access to that data is false. This response reflects a lack of faith in good governance, which is essential to any well-functioning organization or community seeking to keep its members and society at large safe from bad actors. There are some people who have access to the nuclear launch codes, but “Mission Impossible” movies aside, we’re not particularly worried about a slippery slope leading to lots of unauthorized people having access to those codes.

I am drawing attention to Signal, but there’s a bigger issue here: Small groups of technologists are developing and deploying applications of their technologies for explicitly ideological reasons, with those ideologies baked into the technologies. To use those technologies is to use a tool that comes with an ethical or political bent.

Signal is pushing against businesses like Meta that turn users of their social media platforms into the product by selling user data. But Signal embeds within itself a rather extreme conception of privacy, and scaling its technology is scaling its ideology. Signal’s users may not be the product, but they ‌‌are the witting or unwitting advocates of the moral views of the 40 or so people who operate Signal.

There’s something somewhat sneaky in all this (though I don’t think the owners of Signal intend to be sneaky). Usually advocates know that they’re advocates. They engage in some level of deliberation and reach the conclusion that a set of beliefs is for them…(More)”.

Data drives media coverage of climate refugees


Case study by Sherry Ricchiardi: “Data has become a springboard for journalists on the frontlines of the climate refugee crisis. It points them to weather emergencies in hot zones like South Asia and Central America and to humans facing misery and despair.

Jorge A., a Guatemalan farmer lost his corn crop to floods. He planted okra, but a drought killed it off. He feared if he didn’t get his family out, they, too, might die.

Jorge’s story was told in gripping detail in a data-driven investigation by ProPublica in partnership with The New York Times Magazine, exploring how changes in population patterns could lead to catastrophe. The “Great Climate Migration Has Begun,” presented as a visual essay, cited scenarios of how this crisis might play out.

The joint venture, supported by the Pulitzer Center, had an over-arching strategy: To model, for the first time, how climate refugees might move across international borders. The modeling informed the journalist’s findings and “possible general pathways for the future.”

“Should the flight away from hot climates reach the scale that current research suggests is likely, it will amount to a vast remapping of the world’s population,” wrote ProPublica’s Abrahm Lustgarten, lead author for the 2020 series…

Journalists have taken a stand on how they cover the climate beat. Their view of what constitutes a “balanced news report” has shifted from “he said, she said” objectivity toward a “weight of evidence” approach. Mainstream media are giving climate skeptics less time and for good reason.

Researchers long had raised concerns that the media distorted scientific consensus on climate change by “false balance” reporting or “bothsidesism,” giving climate deniers too much say. Research by Northwestern University psychology professor David Rapp sheds light on the controversy.

During a co-authored study, experiments were conducted to test how people would respond when two views about climate change were presented as equally valid, even though one side was based on scientific consensus and the other on denial. Among the conclusions, “When both sides of an argument are presented, people tend to have lower estimates about scientific consensus and seem to be less likely to believe climate change is something to worry about.” A campus publication touted, “Northwestern research finds ‘bothsidesism’ in journalism undermines science.”..(More)”.

Behavioural Economics and the Environment


Book edited by Alessandro Bucciol, Alessandro Tavoni and Marcella Veronesi: “Humans have long neglected to fully consider the impact of their behaviour on the environment. From excessive consumption of fossil fuels and natural resources to pollution, waste disposal, and, in more recent years, climate change, most people and institutions lack a clear understanding of the environmental consequences of their actions. The new field of behavioural environmental economics seeks to address this by applying the framework of behavioural economics to environmental issues, thereby rationalizing unexplained puzzles and providing a more realistic account of individual behaviour.

This book provides a complete and rigorous overview of environmental topics that may be addressed and, in many instances, better understood by integrating a behavioural approach. This volume features state-of-the-art research on this topic by influential scholars in behavioural and environmental economics, focussing on the effects of psychological, social and cognitive factors on the decision-making process. It presents research performed using different methods and data collection mechanisms (e.g. laboratory experiments, field experiments, natural experiments, online surveys) on a variety of environmental topics (e.g. sustainability, natural resources)…(More)”.