Co-Designing Urban Futures: Innovation and partnerships for improved service delivery in intermediary cities


Report by GSMA: “Cities across low- and middle-income countries (LMICs) are grappling with the concurrent challenges of rapid urbanisation, climate change and widening inequalities. For intermediary cities, which account for more than half of the urban population in LMICs, these challenges are more pronounced. There is growing evidence that partnerships, collaboration and innovative service delivery models can address these challenges. The GSMA, Connected Places Catapult and UN-Habitat have come together to support cities by driving collaboration between the public and private sectors and enabling the adoption of these innovative models.

This report first outlines the state of urbanisation and the challenges of urban service provision associated with the rapid pace with which cities are growing. It then delves into the unique challenges that intermediary cities face: Governance, digital development, financial capacity and climate change, making the case to accelerate innovation and partnerships in these cities…(More)”.

Social Movements and Public Opinion in the United States


Paper by Amory Gethin & Vincent Pons: “Recent social movements stand out by their spontaneous nature and lack of stable leadership, raising doubts on their ability to generate political change. This article provides systematic evidence on the effects of protests on public opinion and political attitudes. Drawing on a database covering the quasi-universe of protests held in the United States, we identify 14 social movements that took place from 2017 to 2022, covering topics related to environmental protection, gender equality, gun control, immigration, national and international politics, and racial issues. We use Twitter data, Google search volumes, and high-frequency surveys to track the evolution of online interest, policy views, and vote intentions before and after the outset of each movement. Combining national-level event studies with difference-in-differences designs exploiting variation in local protest intensity, we find that protests generate substantial internet activity but have limited effects on political attitudes. Except for the Black Lives Matter protests following the death of George Floyd, which shifted views on racial discrimination and increased votes for the Democrats, we estimate precise null effects of protests on public opinion and electoral behavior…(More)”.

Data-Driven Innovation in the Creative Industries


Open Access Book edited by Melissa Terras, Vikki Jones, Nicola Osborne, and Chris Speed: “The creative industries – the place where art, business, and technology meet in economic activity – have been hugely affected by the relatively recent digitalisation (and often monetisation) of work, home, relationships, and leisure. Such trends were accelerated by the global COVID-19 pandemic. This edited collection examines how the creative industries can be supported to make best use of opportunities in digital technology and data-driven innovation.

Since digital markets and platforms are now essential for revenue generation and audience engagement, there is a vital need for improved data and digital skills in the creative and cultural sectors. Taking a necessarily global perspective, this book explores the challenges and opportunities of data-driven approaches to creativity in different contexts across the arts, cultural, and heritage sectors. Chapters reach beyond the platforms and approaches provided by the technology sector to delve into the collaborative work that supports innovation around the interdisciplinary and cross-sectoral issues that emerge where data infrastructures and approaches meet creativity.

A novel intervention that uniquely centres the role of data in the theory and practice of creative industries’ innovation, this book is valuable reading for those researching and studying the creative economy as well for those who drive investment for the creative industries in a digitalised society…(More)”.

The tech industry can’t agree on what open-source AI means. That’s a problem.


Article by Edd Gent: “Suddenly, “open source” is the latest buzzword in AI circles. Meta has pledged to create open-source artificial general intelligence. And Elon Musk is suing OpenAI over its lack of open-source AI models.

Meanwhile, a growing number of tech leaders and companies are setting themselves up as open-source champions. 

But there’s a fundamental problem—no one can agree on what “open-source AI” means. 

On the face of it, open-source AI promises a future where anyone can take part in the technology’s development. That could accelerate innovation, boost transparency, and give users greater control over systems that could soon reshape many aspects of our lives. But what even is it? What makes an AI model open source, and what disqualifies it?

The answers could have significant ramifications for the future of the technology. Until the tech industry has settled on a definition, powerful companies can easily bend the concept to suit their own needs, and it could become a tool to entrench the dominance of today’s leading players.

Entering this fray is the Open Source Initiative (OSI), the self-appointed arbiters of what it means to be open source. Founded in 1998, the nonprofit is the custodian of the Open Source Definition, a widely accepted set of rules that determine whether a piece of software can be considered open source. 

Now, the organization has assembled a 70-strong group of researchers, lawyers, policymakers, activists, and representatives from big tech companies like Meta, Google, and Amazon to come up with a working definition of open-source AI…(More)”.

New Jersey is turning to AI to improve the job search process


Article by Beth Simone Noveck: “Americans are experiencing some conflicting feelings about AI.

While people are flocking to new roles like prompt engineer and AI ethicist, the technology is also predicted to put many jobs at risk, including computer programmers, data scientists, graphic designers, writers, lawyers.

Little wonder, then, that a national survey by the Heldrich Center for Workforce Development found an overwhelming majority of Americans (66%) believe that they “will need more technological skills to achieve their career goals.” One thing is certain: Workers will need to train for change. And in a world of misinformation-filled social media platforms, it is increasingly important for trusted public institutions to provide reliable, data-driven resources.

In New Jersey, we’ve tried doing just that by collaborating with workers, including many with disabilities, to design technology that will support better decision-making around training and career change. Investing in similar public AI-powered tools could help support better consumer choice across various domains. When a public entity designs, controls and implements AI, there is a far greater likelihood that this powerful technology will be used for good.

In New Jersey, the public can find reliable, independent, unbiased information about training and upskilling on the state’s new MyCareer website, which uses AI to make personalized recommendations about your career prospects, and the training you will need to be ready for a high-growth, in-demand job…(More)”.

Could artificial intelligence benefit democracy?


Article by Brian Wheeler: “Each week sees a new set of warnings about the potential impact of AI-generated deepfakes – realistic video and audio of politicians saying things they never said – spreading confusion and mistrust among the voting public.

And in the UK, regulators, security services and government are battling to protect this year’s general election from malign foreign interference.

Less attention has been given to the possible benefits of AI.

But a lot of work is going on, often below the radar, to try to harness its power in ways that might enhance democracy rather than destroy it.

“While this technology does pose some important risks in terms of disinformation, it also offers some significant opportunities for campaigns, which we can’t ignore,” Hannah O’Rourke, co-founder of Campaign Lab, a left-leaning network of tech volunteers, says.

“Like all technology, what matters is how AI is actually implemented. “Its impact will be felt in the way campaigners actually use it.”

Among other things, Campaign Lab runs training courses for Labour and Liberal Democrat campaigners on how to use ChatGPT (Chat Generative Pre-trained Transformer) to create the first draft of election leaflets.

It reminds them to edit the final product carefully, though, as large language models (LLMs) such as ChatGPT have a worrying tendency to “hallucinate” or make things up.

The group is also experimenting with chatbots to help train canvassers to have more engaging conversations on the doorstep.

AI is already embedded in everyday programs, from Microsoft Outlook to Adobe Photoshop, Ms O’Rourke says, so why not use it in a responsible way to free up time for more face-to-face campaigning?…

Conservative-supporting AI expert Joe Reeve is another young political campaigner convinced the new technology can transform things for the better.

He runs Future London, a community of “techno optimists” who use AI to seek answers to big questions such as “Why can’t I buy a house?” and, crucially, “Where’s my robot butler?”

In 2020, Mr Reeve founded Tory Techs, partly as a right-wing response to Campaign Lab.

The group has run programming sessions and explored how to use AI to hone Tory campaign messages but, Mr Reeve says, it now “mostly focuses on speaking with MPs in more private and safe spaces to help coach politicians on what AI means and how it can be a positive force”.

“Technology has an opportunity to make the world a lot better for a lot of people and that is regardless of politics,” he tells BBC News…(More)”.

Data Rules: Reinventing the Market Economy


Book by Cristina Alaimo and Jannis Kallinikos: “Digital data have become the critical frontier where emerging economic practices and organizational forms confront the traditional economic order and its institutions. In Data Rules, Cristina Alaimo and Jannis Kallinikos establish a social science framework for analyzing the unprecedented social and economic restructuring brought about by data. Working at the intersection of information systems and organizational studies, they draw extensively on intellectual currents in sociology, semiotics, cognitive science and technology, and social theory. Making the case for turning “data-making” into an area of inquiry of its own, the authors uncover how data are deeply implicated in rewiring the institutions of the market economy.

The authors associate digital data with the decentering of organizations. As they point out, centered systems make sense only when firms (and formal organizations more broadly) can keep the external world at arm’s length and maintain a relative operation independence from it. These patterns no longer hold. Data transform the production of goods and services to an endless series of exchanges and interactions that defeat the functional logics of markets and organizations. The diffusion of platforms and ecosystems is indicative of these broader transformations. Rather than viewing data as simply a force of surveillance and control, the authors place the transformative potential of data at the center of an emerging socioeconomic order that restructures society and its institutions…(More)”.

How cities can flex their purchasing power to stimulate innovation


Article by Sam Markey and Andrew Watkins: “But the “power of the purse” can be a game-changer. City governments spend $6 trillion annually buying goods and services from private sector suppliers, amounting to 8% of world GDP in 2021. These delivery contracts represent a huge commercial opportunity for suppliers, but also a policy tool for local authorities to shape markets and steer private sector research and development…

In recent years, local and national leaders have been rediscovering the power of public procurement and dismantling the legislative and cultural barriers that have limited its potential. Analysis by the OECD endorsed public procurement as a strategic instrument that can be used by government to promote innovation, facilitate diversity of thought and address societal challenges

A growing number of city authorities are using these powers to drive not just delivery but transformation:

  • Faced with the challenge of waste collection from properties using narrow rear alleys as a dumping ground, Liverpool City Council (UK) used an innovation-friendly procurement approach to engage the market, and identify, evaluate and integrate a new solution. Installing communal waste collection points with below-surface storage restored the alleys to being community spaces, promoting a sense of belonging and neighbourliness. Clearly marked disposal points for recycling saw adoption rise by 270%, while new ways of working saw the cost of collection fall from £56 to £32 per property, and a carbon footprint reduction of 60%.
  • In Norway, where ferries provide vital transport infrastructure and are therefore largely operated as public services, regional governments require that all new ferry contracts must use low-emission technologies where possible. This market pull has seen electric-powered ferries replace diesel ferries, cutting emissions by 95% and costs by 80%.
  • As part of an ambitious Green New Deal that aims to electrify 6,000 properties in Ithaca, New York State, the city secured a 30% discount on the cost of heat pumps and other retrofit technologies by orchestrating demand into an advance bulk purchase.
  • Through the YES San Francisco Urban Sustainability Challenge, the City of San Francisco is partnering with the public-private sector to launch 14 new technologies to be deployed locally to support sustainability goals…(More)”.

Global AI governance: barriers and pathways forward 


Paper by Huw Roberts, Emmie Hine, Mariarosaria Taddeo, Luciano Floridi: “This policy paper is a response to the growing calls for ambitious new international institutions for AI. It maps the geopolitical and institutional barriers to stronger global AI governance and considers potential pathways forward in light of these constraints. We argue that a promising foundation of international regimes focused on AI governance is emerging, but the centrality of AI to interstate competition, dysfunctional international institutions and disagreement over policy priorities problematizes substantive cooperation. We propose strengthening the existing weak ‘regime complex’ of international institutions as the most desirable and realistic path forward for global AI governance. Strengthening coordination between, and the capacities of, existing institutions supports mutually reinforcing policy change, which, if enacted properly, can lead to catalytic change across the various policy areas where AI has an impact. It also facilitates the flexible governance needed for rapidly evolving technologies.

To make this argument, we outline key global AI governance processes in the next section. In the third section, we analyse how first- and second-order cooperation problems in international relations apply to AI. In the fourth section we assess potential routes for advancing global AI governance, and we conclude by providing recommendations on how to strengthen the weak AI regime complex…(More)”.

Synthetic Politics: Preparing democracy for Generative AI


Report by Demos: “This year is a politically momentous one, with almost half the world voting in elections. Generative AI may revolutionise our political information environments by making them more effective, relevant, and participatory. But it’s also possible that they will become more manipulative, confusing, and dangerous. We’ve already seen AI-generated audio of politicians going viral and chatbots offering incorrect information about elections.

This report, produced in partnership with University College London, explores how synthetic content produced by generative AI poses risks to the core democratic values of truthequality, and non-violence. It proposes two action plans for what private and public decision-makers should be doing to safeguard democratic integrity immediately and in the long run:

  • In Action Plan 1, we consider the actions that should be urgently put in place to reduce the acute risks to democratic integrity presented by generative AI tools. This includes reducing the production and dissemination of harmful synthetic content and empowering users so that harmful impacts of synthetic content are reduced in the immediate term.
  • In Action Plan 2, we set out a longer-term vision for how the fundamental risks to democratic integrity should be addressed. We explore the ways in which generative AI tools can help bolster equality, truth and non-violence, from enabling greater democratic participation to improving how key information institutions operate…(More)”.