Crime, inequality and public health: a survey of emerging trends in urban data science


Paper by Massimiliano Luca, Gian Maria Campedelli, Simone Centellegher, Michele Tizzoni, and Bruno Lepri: “Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization and increasing urbanization posing new challenges in sustainable urban development well summarized in the United Nations’ Sustainable Development Goals (SDGs). The advent of the digital age generated by modern alternative data sources provides new tools to tackle these challenges with spatio-temporal scales that were previously unavailable with census statistics. In this review, we present how new digital data sources are employed to provide data-driven insights to study and track (i) urban crime and public safety; (ii) socioeconomic inequalities and segregation; and (iii) public health, with a particular focus on the city scale…(More)”.

A Global Digital Compact — an Open, Free and Secure Digital Future for All


UN Secretary General: “…The present brief proposes the development of a Global Digital Compact that would set out principles, objectives and actions for advancing an open, free, secure and human-centred digital future, one that is anchored in universal human rights and that enables the attainment of the Sustainable Development Goals. It outlines areas in which the need for multi-stakeholder digital cooperation is urgent and sets out how a Global Digital Compact can help to realize the commitment in the declaration on the commemoration of the seventy-fifth anniversary of the United Nations (General Assembly resolution 75/1) to “shaping a shared vision on digital cooperation” by providing an inclusive global framework. Such a framework is essential for the multi-stakeholder action required to overcome digital, data and innovation divides and to achieve the governance required for a sustainable digital future.
Our digital world is one of divides. In 2002, when governments first recognized the challenge of
the digital divide, 1 billion people had access to the Internet. Today, 5.3 billion people are digitally
connected, yet the divide persists across regions, gender, income, language, and age groups. Some 89 per cent of people in Europe are online, but only 21 per cent of women in low-income countries use the Internet. While digitally deliverable services now account for almost two thirds of global services trade, access is unaffordable in some parts of the world. The cost of a smartphone in South Asia and sub-Saharan Africa is more than 40 per cent of the average monthly income, and African users pay more than three times the global average for mobile data. Fewer than half of the world’s countries track digital
skills, and the data that exist highlight the depth of digital learning gaps. Two decades after the
World Summit on the Information Society, the digital divide is still a gulf.

Data divides are also growing. As data are collected and used in digital applications, they generate huge commercial and social value. While monthly global data traffic is forecast to grow by more than 400 per cent by 2026, activity is concentrated among a few global players. Many developing countries are at risk of becoming mere providers of raw data while having to pay for the services that their data help to produce…(More)”.

Death Glitch: How Techno-Solutionism Fails Us in This Life and Beyond


Book by Tamara Kneese: “Since the internet’s earliest days, people have died and mourned online. In quiet corners of past iterations of the web, the dead linger. But attempts at preserving the data of the dead are often ill-fated, for websites and devices decay and die, just as people do. Death disrupts technologists’ plans for platforms. It reveals how digital production is always collaborative, undermining the entrepreneurial platform economy and highlighting the flaws of techno-solutionism.
 
Big Tech has authority not only over people’s lives but over their experiences of death as well. Ordinary users and workers, though, advocate for changes to tech companies’ policies around death. Drawing on internet histories along with interviews with founders of digital afterlife startups, caretakers of illness blogs, and transhumanist tinkerers, the technology scholar Tamara Kneese takes readers on a vibrant tour of the ways that platforms and people work together to care for digital remains. What happens when commercial platforms encounter the messiness of mortality?..(More)”.

Civic Participation in the Datafied Society


Introduction to Special Issue by Arne Hintz, Lina Dencik, Joanna Redden, Emiliano Trere: “As data collection and analysis are increasingly deployed for a variety of both commercial and public services, state–citizen relations are becoming infused by algorithmic and automated decision making. Yet as citizens, we have few possibilities to understand and intervene into the roll-out of data systems, and to participate in policy and decision making about uses of data and artificial intelligence (AI). This introductory article unpacks the nexus of datafication and participation, reviews some of the editors’ own research on this subject, and provides an overview of the contents of the Special Section “Civic Participation in the Datafied Society.”… (More)”.

How to design an AI ethics board



Paper by Jonas Schuett, Anka Reuel, Alexis Carlier: “Organizations that develop and deploy artificial intelligence (AI) systems need to take measures to reduce the associated risks. In this paper, we examine how AI companies could design an AI ethics board in a way that reduces risks from AI. We identify five high-level design choices: (1) What responsibilities should the board have? (2) What should its legal structure be? (3) Who should sit on the board? (4) How should it make decisions and should its decisions be binding? (5) What resources does it need? We break down each of these questions into more specific sub-questions, list options, and discuss how different design choices affect the board’s ability to reduce risks from AI. Several failures have shown that designing an AI ethics board can be challenging. This paper provides a toolbox that can help AI companies to overcome these challenges…(More)”.

Democracy Unmoored: Populism and the Corruption of Popular Sovereignty


Book by Samuel Issacharoff: “The end of the 20th century marked a triumphant moment for liberal democracies, which sold their vision of governance on the basis of their strong markets, economic redistribution to their citizens, and a robust constitutional order. But today democracies young and old, fragile and resilient alike are under threat—not from military conflict, nor from autocracies beyond their borders, but primarily from within. New tactics employed by would-be autocrats, whether in Hungary, India, Brazil, or the United States, exploit cracks that have emerged in democratic institutions since the 2008 financial crisis. Why have democracies weakened, how has populism emerged in its place, and what are its implications for the long-term future of democratic governance around the world? Democracy Unmoored: Populism and the Corruption of Popular Sovereignty examines these questions in three parts. The first addresses the recent ascendancy of populism around the world, arguing that populism has emerged as democracies have grown less able to deliver on their promises and the economic, social, and cultural narratives underpinning democracy unraveled amidst economic dislocation, migration, and demographic change. The second explores how populists govern when they take power and the intralegal ways that populists wield democratic institutions against democratic governance. The third and final part offers suggestions to better insulate democracies against the populist tide, including the application of ordinary tools of criminal and administrative law; improving state capacity, checks on the executive and citizen participation; and exploring novel electoral frameworks…(More)”.

Global Data Stewardship


On-line Course by Stefaan G. Verhulst: “Creating a systematic and sustainable data access program is critical for data stewardship. What you do with your data, how you reuse it, and how you make it available to the general public can help others reimagine what’s possible for data sharing and cross-sector data collaboration. In this course, instructor Stefaan Verhulst shows you how to develop and manage data reuse initiatives as a competent and responsible global data steward.

Following the insights of current research and practical, real-world examples, learn about the growing importance of data stewardship, data supply, and data demand to understand the value proposition and societal case for data reuse. Get tips on designing and implementing data collaboration models, governance framework, and infrastructure, as well as best practices for measuring, sunsetting, and supporting data reuse initiatives. Upon completing this course, you’ll be ready to start pushing your new skill set and continue your data stewardship learning journey….(More)”

Rethinking democracy for the age of AI


Keynote speech by Bruce Schneier: “There is a lot written about technology’s threats to democracy. Polarization. Artificial intelligence. The concentration of wealth and power. I have a more general story: The political and economic systems of governance that were created in the mid-18th century are poorly suited for the 21st century. They don’t align incentives well. And they are being hacked too effectively.

At the same time, the cost of these hacked systems has never been greater, across all human history. We have become too powerful as a species. And our systems cannot keep up with fast-changing disruptive technologies.

We need to create new systems of governance that align incentives and are resilient against hacking … at every scale. From the individual all the way up to the whole of society.

 For this, I need you to drop your 20th century either/or thinking. This is not about capitalism versus communism. It’s not about democracy versus autocracy. It’s not even about humans versus AI. It’s something new, something we don’t have a name for yet. And it’s “blue sky” thinking, not even remotely considering what’s feasible today.

Throughout this talk, I want you to think of both democracy and capitalism as information systems. Socio-technical information systems. Protocols for making group decisions. Ones where different players have different incentives. These systems are vulnerable to hacking and need to be secured against those hacks.

We security technologists have a lot of expertise in both secure system design and hacking. That’s why we have something to add to this discussion…(More)”

For chemists, the AI revolution has yet to happen


Editorial Team at Nature: “Many people are expressing fears that artificial intelligence (AI) has gone too far — or risks doing so. Take Geoffrey Hinton, a prominent figure in AI, who recently resigned from his position at Google, citing the desire to speak out about the technology’s potential risks to society and human well-being.

But against those big-picture concerns, in many areas of science you will hear a different frustration being expressed more quietly: that AI has not yet gone far enough. One of those areas is chemistry, for which machine-learning tools promise a revolution in the way researchers seek and synthesize useful new substances. But a wholesale revolution has yet to happen — because of the lack of data available to feed hungry AI systems.

Any AI system is only as good as the data it is trained on. These systems rely on what are called neural networks, which their developers teach using training data sets that must be large, reliable and free of bias. If chemists want to harness the full potential of generative-AI tools, they need to help to establish such training data sets. More data are needed — both experimental and simulated — including historical data and otherwise obscure knowledge, such as that from unsuccessful experiments. And researchers must ensure that the resulting information is accessible. This task is still very much a work in progress…(More)”.

The latest in homomorphic encryption: A game-changer shaping up


Article by Katharina Koerner: “Privacy professionals are witnessing a revolution in privacy technology. The emergence and maturing of new privacy-enhancing technologies that allow for data use and collaboration without sharing plain text data or sending data to a central location are part of this revolution.

The United Nations, the Organisation for Economic Co-operation and Development, the U.S. White House, the European Union Agency for Cybersecurity, the UK Royal Society, and Singapore’s media and privacy authorities all released reports, guidelines and regulatory sandboxes around the use of PETs in quick succession. We are in an era where there are high hopes for data insights to be leveraged for the public good while maintaining privacy principles and enhanced security.

A prominent example of a PET is fully homomorphic encryption, often mentioned in the same breath as differential privacy, federated learning, secure multiparty computation, private set intersection, synthetic data, zero knowledge proofs or trusted execution environments.

As FHE advances and becomes standardized, it has the potential to revolutionize the way we handle, protect and utilize personal data. Staying informed about the latest advancements in this field can help privacy pros prepare for the changes ahead in this rapidly evolving digital landscape.

Homomorphic encryption: A game changer?

FHE is a groundbreaking cryptographic technique that enables third parties to process information without revealing the data itself by running computations on encrypted data.

This technology can have far-reaching implications for secure data analytics. Requests to a databank can be answered without accessing its plain text data, as the analysis is conducted on data that remains encrypted. This adds a third layer of security for data when in use, along with protecting data at rest and in transit…(More)”.