Advancing Equitable AI in the US Social Sector


Article by Kelly Fitzsimmons: “…when developed thoughtfully and with equity in mind, AI-powered applications have great potential to help drive stronger and more equitable outcomes for nonprofits, particularly in the following three areas.

1. Closing the data gap. A widening data divide between the private and social sectors threatens to reduce the effectiveness of nonprofits that provide critical social services in the United States and leave those they serve without the support they need. As Kriss Deiglmeir wrote in a recent Stanford Social Innovation Review essay, “Data is a form of power. And the sad reality is that power is being held increasingly by the commercial sector and not by organizations seeking to create a more just, sustainable, and prosperous world.” AI can help break this trend by democratizing the process of generating and mobilizing data and evidence, thus making continuous research and development, evaluation, and data analysis more accessible to a wider range of organizations—including those with limited budgets and in-house expertise.

Take Quill.org, a nonprofit that provides students with free tools that help them build reading comprehension, writing, and language skills. Quill.org uses an AI-powered chatbot that asks students to respond to open-ended questions based on a piece of text. It then reviews student responses and offers suggestions for improvement, such as writing with clarity and using evidence to support claims. This technology makes high-quality critical thinking and writing support available to students and schools that might not otherwise have access to them. As Peter Gault, Quill.org’s founder and executive director, recently shared, “There are 27 million low-income students in the United States who struggle with basic writing and find themselves disadvantaged in school and in the workforce. … By using AI to provide students with immediate feedback on their writing, we can help teachers support millions of students on the path to becoming stronger writers, critical thinkers, and active members of our democracy.”..(More)”.

Power and Governance in the Age of AI


Reflections by several experts: “The best way to think about ChatGPT is as the functional equivalent of expensive private education and tutoring. Yes, there is a free version, but there is also a paid subscription that gets you access to the latest breakthroughs and a more powerful version of the model. More money gets you more power and privileged access. As a result, in my courses at Middlebury College this spring, I was obliged to include the following statement in my syllabus:

“Policy on the use of ChatGPT: You may all use the free version however you like and are encouraged to do so. For purposes of equity, use of the subscription version is forbidden and will be considered a violation of the Honor Code. Your professor has both versions and knows the difference. To ensure you are learning as much as possible from the course readings, careful citation will be mandatory in both your informal and formal writing.”

The United States fails to live up to its founding values when it supports a luxury brand-driven approach to educating its future leaders that is accessible to the privileged and a few select lottery winners. One such “winning ticket” student in my class this spring argued that the quality-education-for-all issue was of such importance for the future of freedom that he would trade his individual good fortune at winning an education at Middlebury College for the elimination of ALL elite education in the United States so that quality education could be a right rather than a privilege.

A democracy cannot function if the entire game seems to be rigged and bought by elites. This is true for the United States and for democracies in the making or under challenge around the world. Consequently, in partnership with other liberal democracies, the U.S. government must do whatever it can to render both public and private governance more transparent and accountable. We should not expect authoritarian states to help us uphold liberal democratic values, nor should we expect corporations to do so voluntarily…(More)”.

Algorithmic attention rents: A theory of digital platform market power


Paper by Tim O’Reilly, Ilan Strauss and Mariana Mazzucato: “We outline a theory of algorithmic attention rents in digital aggregator platforms. We explore the way that as platforms grow, they become increasingly capable of extracting rents from a variety of actors in their ecosystems—users, suppliers, and advertisers—through their algorithmic control over user attention. We focus our analysis on advertising business models, in which attention harvested from users is monetized by reselling the attention to suppliers or other advertisers, though we believe the theory has relevance to other online business models as well. We argue that regulations should mandate the disclosure of the operating metrics that platforms use to allocate user attention and shape the “free” side of their marketplace, as well as details on how that attention is monetized…(More)”.

Limiting Data Broker Sales in the Name of U.S. National Security: Questions on Substance and Messaging


Article by Peter Swire and Samm Sacks: “A new executive order issued today contains multiple provisions, most notably limiting bulk sales of personal data to “countries of concern.” The order has admirable national security goals but quite possibly would be ineffective and may be counterproductive. There are serious questions about both the substance and the messaging of the order. 

The new order combines two attractive targets for policy action. First, in this era of bipartisan concern about China, the new order would regulate transactions specifically with “countries of concern,” notably China, but also others such as Iran and North Korea. A key rationale for the order is to prevent China from amassing sensitive information about Americans, for use in tracking and potentially manipulating military personnel, government officials, or anyone else of interest to the Chinese regime. 

Second, the order targets bulk sales, to countries of concern, of sensitive personal information by data brokers, such as genomic, biometric, and precise geolocation data. The large and growing data broker industry has come under well-deserved bipartisan scrutiny for privacy risks. Congress has held hearings and considered bills to regulate such brokers. California has created a data broker registry and last fall passed the Delete Act to enable individuals to require deletion of their personal data. In January, the Federal Trade Commission issued an order prohibiting data broker Outlogic from sharing or selling sensitive geolocation data, finding that the company had acted without customer consent, in an unfair and deceptive manner. In light of these bipartisan concerns, a new order targeting both China and data brokers has a nearly irresistible political logic.

Accurate assessment of the new order, however, requires an understanding of this order as part of a much bigger departure from the traditional U.S. support for free and open flows of data across borders. Recently, in part for national security reasons, the U.S. has withdrawn its traditional support in the World Trade Organization (WTO) for free and open data flows, and the Department of Commerce has announced a proposed rule, in the name of national security, that would regulate U.S.-based cloud providers when selling to foreign countries, including for purposes of training artificial intelligence (AI) models. We are concerned that these initiatives may not sufficiently account for the national security advantages of the long-standing U.S. position and may have negative effects on the U.S. economy.

Despite the attractiveness of the regulatory targets—data brokers and countries of concern—U.S. policymakers should be cautious as they implement this order and the other current policy changes. As discussed below, there are some possible privacy advances as data brokers have to become more careful in their sales of data, but a better path would be to ensure broader privacy and cybersecurity safeguards to better protect data and critical infrastructure systems from sophisticated cyberattacks from China and elsewhere…(More)”.

Breaking the Gridlock


UNDP Human Development Report 2024: “We can do better than this. Better than runaway climate change and pandemics. Better than a spate of unconstitutional transfers of power amid a rising, globalizing tide of populism. Better than cascading human rights violations and unconscionable massacres of people in their homes and civic venues, in hospitals, schools and shelters.

We must do better than a world always on the brink, a socioecological house of cards. We owe it to ourselves, to each other, to our children and their children.

We have so much going for us.

We know what the global challenges are and who will be most affected by them. And we know there will surely be more that we cannot anticipate today.

We know which choices offer better opportunities for peace, shared prosperity and sustainability, better ways to navigate interacting layers of uncertainty and interlinked planetary surprises.

We enjoy unprecedented wealth know-how and technology—unimaginable to our ancestors—that with more equitable distribution and use could power bold and necessary choices for peace and for sustainable, inclusive human development on which peace depends…

In short, why are we so stuck? And how do we get unstuck without resorting myopically to violence or isolationism? These questions motivate the 2023–2024 Human Development Report.

Sharp questions belie their complexity; issues with power disparities at their core often defy easy explanation. Magic bullets entice but mislead—siren songs peddled by sloganeering that exploits group-based grievances. Slick solutions and simple recipes poison our willingness to do the hard work of overcoming polarization.

Geopolitical quagmires abound, driven by shifting power dynamics among states and by national gazes yanked inward by inequalities, insecurity and polarization, all recurring themes in this and recent Human Development Reports. Yet we need not sit on our hands simply because great power competition is heating up while countries underrepresented in global governance seek a greater say in matters of global import. Recall that global cooperation on smallpox eradication and protection of the ozone layer, among other important issues such as nuclear nonproliferation, happened over the course of the Cold War…(More)”.

New Horizons


An Introduction to the 2nd Edition of the State of Open Data by Renata Avila and Tim Davies: “The struggle to deliver on the vision that data, this critical resource of modern societies, should be widely available, well structured, and shared for all to use, has been a long one. It has been a struggle involving thousands upon thousands of individuals, organisations, and communities. Without their efforts, public procurement would be opaque, smart-cities even more corporate controlled, transport systems less integrated, and pandemic responses less rapid. Across numerous initiatives, open data has become more embedded as a way to support accountability, enable collaboration, and to better unlock the value of data. 

However, much like the climber reaching the top of the foothills, and for the first time seeing the hard climb of the whole mountain coming into view, open data advocates, architects, and community builders have not reached the end of their journey. As we move into the middle of the 2020s, action on open data faces new and significant challenges if we are to see a future in which open and enabling data infrastructures and ecosystems are the norm rather than a sparse patchwork of exceptions. Building open infrastructures to power social change for the next century is no small task, and to meet the challenges ahead, we will need all that the lessons we can gather from more than 15 years of open data action to date…Across the collection, we can find two main pathways to broader participation explored. On the one hand are discussions of widening public engagement and data literacy, creating a more diverse constituency of people interested and able to engage with data projects in a voluntary capacity. On the other, are calls for more formalisation of data governance, embedding citizen voices within increasingly structured data collaborations and ensuring that affected stakeholders are consulted on, or given a role in, key data decisions. Mariel García-Montes (Data Literacy) underscores the case for an equity-first approach to the first pathway, highlighting how generalist data literacy can be used for or against the public good, and calling for approaches to data literacy building that centre on an understanding of inequality and power. In writing on urban development, Stefaan G. Verhulst and Sampriti Saxena (Urban Development) point to a number of examples of the latter approach in which cities are experimenting with various forms of deliberative conversations and processes…(More)”.

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)”.

Making Sense of Citizens’ Input through Artificial Intelligence: A Review of Methods for Computational Text Analysis to Support the Evaluation of Contributions in Public Participation


Paper by Julia Romberg and Tobias Escher: “Public sector institutions that consult citizens to inform decision-making face the challenge of evaluating the contributions made by citizens. This evaluation has important democratic implications but at the same time, consumes substantial human resources. However, until now the use of artificial intelligence such as computer-supported text analysis has remained an under-studied solution to this problem. We identify three generic tasks in the evaluation process that could benefit from natural language processing (NLP). Based on a systematic literature search in two databases on computational linguistics and digital government, we provide a detailed review of existing methods and their performance. While some promising approaches exist, for instance to group data thematically and to detect arguments and opinions, we show that there remain important challenges before these could offer any reliable support in practice. These include the quality of results, the applicability to non-English language corpuses and making algorithmic models available to practitioners through software. We discuss a number of avenues that future research should pursue that can ultimately lead to solutions for practice. The most promising of these bring in the expertise of human evaluators, for example through active learning approaches or interactive topic modeling…(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)”