AI-Powered Urban Innovations Bring Promise, Risk to Future Cities


Article by Anthony Townsend and Hubert Beroche: “Red lights are obsolete. That seems to be the thinking behind Google’s latest fix for cities, which rolled out late last year in a dozen cities around the world, from Seattle to Jakarta. Most cities still collect the data to determine the timing of traffic signals by hand. But Project Green Light replaced clickers and clipboards with mountains of location data culled from smartphones. Artificial intelligence crunched the numbers, adjusting the signal pattern to smooth the flow of traffic. Motorists saw 30% fewer delays. There’s just one catch. Even as pedestrian deaths in the US reached a 40-year high in 2022, Google engineers omitted pedestrians and cyclists from their calculations.

Google’s oversight threatens to undo a decade of progress on safe streets and is a timely reminder of the risks in store when AI invades the city. Mayors across global cities have embraced Vision Zero pledges to eliminate pedestrian deaths. They are trying to slow traffic down, not speed it up. But Project Green Light’s website doesn’t even mention road safety. Still, the search giant’s experiment demonstrates AI’s potential to help cities. Tailpipe greenhouse gas emissions at intersections fell by 10%. Imagine what AI could do if we used it to empower people in cities rather than ignore them.

Take the technocratic task of urban planning and the many barriers to participation it creates. The same technology that powers chatbots and deepfakes is rapidly bringing down those barriers. Real estate developers have mastered the art of using glossy renderings to shape public opinion. But UrbanistAI, a tool developed by Helsinki-based startup SPIN Unit and the Milanese software company Toretei, puts that power in the hands of residents: It uses generative AI to transform text prompts into photorealistic images of alternative designs for controversial projects. Another startup, the Barcelona-based Aino, wraps a chatbot around a mapping tool. Using such computer aids, neighborhood activists no longer need to hire a data scientist to produce maps from census data to make their case…(More)”.

Artificial Intelligence: A Threat to Climate Change, Energy Usage and Disinformation


Press Release: “Today, partners in the Climate Action Against Disinformation coalition released a report that maps the risks that artificial intelligence poses to the climate crisis.

Topline points:

  • AI systems require an enormous amount of energy and water, and consumption is expanding quickly. Estimates suggest a doubling in 5-10 years.
  • Generative AI has the potential to turbocharge climate disinformation, including climate change-related deepfakes, ahead of a historic election year where climate policy will be central to the debate. 
  • The current AI policy landscape reveals a concerning lack of regulation on the federal level, with minor progress made at the state level, relying on voluntary, opaque and unenforceable pledges to pause development, or provide safety with its products…(More)”.

The Dark World of Citation Cartels


Article by Domingo Docampo: “In the complex landscape of modern academe, the maxim “publish or perish” has been gradually evolving into a different mantra: “Get cited or your career gets blighted.” Citations are the new academic currency, and careers now firmly depend on this form of scholarly recognition. In fact, citation has become so important that it has driven a novel form of trickery: stealth networks designed to manipulate citations. Researchers, driven by the imperative to secure academic impact, resort to forming citation rings: collaborative circles engineered to artificially boost the visibility of their work. In doing so, they compromise the integrity of academic discourse and undermine the foundation of scholarly pursuit. The story of the modern “citation cartel” is not just a result of publication pressure. The rise of the mega-journal also plays a role, as do predatory journals and institutional efforts to thrive in global academic rankings.

Over the past decade, the landscape of academic research has been significantly altered by the sheer number of scholars engaging in scientific endeavors. The number of scholars contributing to indexed publications in mathematics has doubled, for instance. In response to the heightened demand for space in scientific publications, a new breed of publishing entrepreneur has seized the opportunity, and the result is the rise of mega-journals that publish thousands of articles annually. Mathematics, an open-access journal produced by the Multidisciplinary Digital Publishing Institute, published more than 4,763 articles in 2023, making up 9.3 percent of all publications in the field, according to the Web of Science. It has an impact factor of 2.4 and an article-influence measure of just 0.37, but, crucially, it is indexed with Clarivate’s Web of Science, Elsevier’s Scopus, and other indexers, which means its citations count toward a variety of professional metrics. (By contrast, the Annals of Mathematics, published by Princeton University, contained 22 articles last year, and has an impact factor of 4.9 and an article-influence measure of 8.3.)..(More)”

Once upon a bureaucrat: Exploring the role of stories in government


Article by Thea Snow: “When you think of a profession associated with stories, what comes to mind? Journalist, perhaps? Or author? Maybe, at a stretch, you might think about a filmmaker. But I would hazard a guess that “public servant” would unlikely be one of the first professions that come to mind. However, recent research suggests that we should be thinking more deeply about the connections between stories and government.

Since 2021, the Centre for Public Impact, in partnership with Dusseldorp Forum and Hands Up Mallee, has been exploring the role of storytelling in the context of place-based systems change work. Our first report, Storytelling for Systems Change: Insights from the Field, focused on the way communities use stories to support place-based change. Our second report, Storytelling for Systems Change: Listening to Understand, focused more on how stories are perceived and used by those in government who are funding and supporting community-led systems change initiatives.

To shape these reports, we have spent the past few years speaking to community members, collective impact backbone teams, storytelling experts, academics, public servants, data analysts, and more. Here’s some of what we’ve heard…(More)”.

Evidence for policy-makers: A matter of timing and certainty?


Article by Wouter Lammers et al: “This article investigates how certainty and timing of evidence introduction impact the uptake of evidence by policy-makers in collective deliberations. Little is known about how experts or researchers should time the introduction of uncertain evidence for policy-makers. With a computational model based on the Hegselmann–Krause opinion dynamics model, we simulate how policy-makers update their opinions in light of new evidence. We illustrate the use of our model with two examples in which timing and certainty matter for policy-making: intelligence analysts scouting potential terrorist activity and food safety inspections of chicken meat. Our computations indicate that evidence should come early to convince policy-makers, regardless of how certain it is. Even if the evidence is quite certain, it will not convince all policy-makers. Next to its substantive contribution, the article also showcases the methodological innovation that agent-based models can bring for a better understanding of the science–policy nexus. The model can be endlessly adapted to generate hypotheses and simulate interactions that cannot be empirically tested…(More)”.

A World Divided Over Artificial Intelligence


Article by Aziz Huq: “…Through multinational communiqués and bilateral talks, an international framework for regulating AI does seem to be coalescing. Take a close look at U.S. President Joe Biden’s October 2023 executive order on AI; the EU’s AI Act, which passed the European Parliament in December 2023 and will likely be finalized later this year; or China’s slate of recent regulations on the topic, and a surprising degree of convergence appears. They have much in common. These regimes broadly share the common goal of preventing AI’s misuse without restraining innovation in the process. Optimists have floated proposals for closer international management of AI, such as the ideas presented in Foreign Affairs by the geopolitical analyst Ian Bremmer and the entrepreneur Mustafa Suleyman and the plan offered by Suleyman and Eric Schmidt, the former CEO of Google, in the Financial Times in which they called for the creation of an international panel akin to the UN’s Intergovernmental Panel on Climate Change to “inform governments about the current state of AI capabilities and make evidence-based predictions about what’s coming.”

But these ambitious plans to forge a new global governance regime for AI may collide with an unfortunate obstacle: cold reality. The great powers, namely, China, the United States, and the EU, may insist publicly that they want to cooperate on regulating AI, but their actions point toward a future of fragmentation and competition. Divergent legal regimes are emerging that will frustrate any cooperation when it comes to access to semiconductors, the setting of technical standards, and the regulation of data and algorithms. This path doesn’t lead to a coherent, contiguous global space for uniform AI-related rules but to a divided landscape of warring regulatory blocs—a world in which the lofty idea that AI can be harnessed for the common good is dashed on the rocks of geopolitical tensions…(More)”.

The Limits of Data


Essay by C.Thi Nguyen: “…Right now, the language of policymaking is data. (I’m talking about “data” here as a concept, not as particular measurements.) Government agencies, corporations, and other policymakers all want to make decisions based on clear data about positive outcomes.  They want to succeed on the metrics—to succeed in clear, objective, and publicly comprehensible terms. But metrics and data are incomplete by their basic nature. Every data collection method is constrained and every dataset is filtered.

Some very important things don’t make their way into the data. It’s easier to justify health care decisions in terms of measurable outcomes: increased average longevity or increased numbers of lives saved in emergency room visits, for example. But there are so many important factors that are far harder to measure: happiness, community, tradition, beauty, comfort, and all the oddities that go into “quality of life.”

Consider, for example, a policy proposal that doctors should urge patients to sharply lower their saturated fat intake. This should lead to better health outcomes, at least for those that are easier to measure: heart attack numbers and average longevity. But the focus on easy-to-measure outcomes often diminishes the salience of other downstream consequences: the loss of culinary traditions, disconnection from a culinary heritage, and a reduction in daily culinary joy. It’s easy to dismiss such things as “intangibles.” But actually, what’s more tangible than a good cheese, or a cheerful fondue party with friends?…(More)”.

A Plan to Develop Open Science’s Green Shoots into a Thriving Garden


Article by Greg Tananbaum, Chelle Gentemann, Kamran Naim, and Christopher Steven Marcum: “…As it’s moved from an abstract set of principles about access to research and data into the realm of real-world activities, the open science movement has mirrored some of the characteristics of the open source movement: distributed, independent, with loosely coordinated actions happening in different places at different levels. Globally, many things are happening, often disconnected, but still interrelated: open science has sowed a constellation of thriving green shoots, not quite yet a garden, but all growing rapidly on arable soil.

Streamlining research processes, reducing duplication of efforts, and accelerating scientific discoveries could ensure that the fruits of open science processes and products are more accessible and equitably distributed.

It is now time to consider how much faster and farther the open science movement could go with more coordination. What efficiencies might be realized if disparate efforts could better harmonize across geographies, disciplines, and sectors? How would an intentional, systems-level approach to aligning incentives, infrastructure, training, and other key components of a rationally functioning research ecosystem advance the wider goals of the movement? Streamlining research processes, reducing duplication of efforts, and accelerating scientific discoveries could ensure that the fruits of open science processes and products are more accessible and equitably distributed…(More)”

UNESCO’s Quest to Save the World’s Intangible Heritage


Article by Julian Lucas: “For decades, the organization has maintained a system that protects everything from Ukrainian borscht to Jamaican reggae. But what does it mean to “safeguard” living culture?…On December 7th, at a safari resort in Kasane, Botswana, Ukraine briefed the United Nations Educational, Scientific, and Cultural Organization (UNESCO) on an endangered national treasure. It wasn’t a monastery menaced by air strikes. Nor was it any of the paintings, rare books, or other antiquities seized by Russian troops. It was borscht, a beet soup popular for centuries across Eastern Europe. Shortly after Russia invaded Ukraine, in February, 2022—as fields burned, restaurants shuttered, and expert cooks fled their homes—Kyiv successfully petitioned UNESCO to add its culture of borscht-making to the List of Intangible Cultural Heritage in Need of Urgent Safeguarding. Now, despite setbacks on the battlefield, the state of the soup was strong. A Ukrainian official reported on her government’s new borscht-related initiatives, such as hosting gastronomic festivals and inventorying vulnerable recipes. She looked forward to borscht’s graduation from Urgent Safeguarding to the Representative List of the Intangible Cultural Heritage (I.C.H.) of Humanity—which grew, that session, to include Italian opera singing, Bangladeshi rickshaw painting, Angolan sand art, and Peruvian ceviche…(More)”.

The Future of Trust


Book by Ros Taylor: “In a society battered by economic, political, cultural and ecological collapse, where do we place our trust, now that it is more vital than ever for our survival? How has that trust – in our laws, our media, our governments – been lost, and how can it be won back? Examining the police, the rule of law, artificial intelligence, the 21st century city and social media, Ros Taylor imagines what life might be like in years to come if trust continues to erode.

Have conspiracy theories permanently damaged our society? Will technological advances, which require more and more of our human selves, ultimately be rejected by future generations? And in a world fast approaching irreversible levels of ecological damage, how can we trust the custodians of these institutions to do the right thing – even as humanity faces catastrophe?…(More)”.