OECD Report: “This report is a first-of-its-kind work to provide evidence on how cities’ investments in innovation and data use can pay off in powerful ways for residents. It offers analysis on the different ways local governments build capacity at the strategic and technical level, from organisational structure and strategy, to resource allocation and outcome evaluation. It shows that cities with higher public-sector innovation capacity and data use practices have higher levels of city and life satisfaction. Furthermore, when looking across key well-being dimensions from housing to environment, health and walkability, cities with higher innovation capacity and data use practices outperformed cities with lower capacity. The lessons in the report have been distilled into 10 recommendations to help local leaders boost their data use and innovation capacity to improve resident well-being…(More)”.
The New Fire: War, Peace, and Democracy in the Age of AI
Book by Ben Buchanan and Andrew Imbrie: “Artificial intelligence is revolutionizing the modern world. It is ubiquitous—in our homes and offices, in the present and most certainly in the future. Today, we encounter AI as our distant ancestors once encountered fire. If we manage AI well, it will become a force for good, lighting the way to many transformative inventions. If we deploy it thoughtlessly, it will advance beyond our control. If we wield it for destruction, it will fan the flames of a new kind of war, one that holds democracy in the balance. As AI policy experts Ben Buchanan and Andrew Imbrie show in The New Fire, few choices are more urgent—or more fascinating—than how we harness this technology and for what purpose.
The new fire has three sparks: data, algorithms, and computing power. These components fuel viral disinformation campaigns, new hacking tools, and military weapons that once seemed like science fiction. To autocrats, AI offers the prospect of centralized control at home and asymmetric advantages in combat. It is easy to assume that democracies, bound by ethical constraints and disjointed in their approach, will be unable to keep up. But such a dystopia is hardly preordained. Combining an incisive understanding of technology with shrewd geopolitical analysis, Buchanan and Imbrie show how AI can work for democracy. With the right approach, technology need not favor tyranny…(More)”.
Artificial Intelligence and Democratic Values
Introduction to Special Issue of the Turkish Policy Quarterly (TPQ): “…Artificial intelligence has fast become part of everyday life, and we wanted to understand how it fits into democratic values. It was important for us to ask how we can ensure that AI and digital policies will promote broad social inclusion, which relies on fundamental rights, democratic institutions, and the rule of law. There seems to be no shortage of principles and concepts that support the fair and responsible use of AI systems, yet it’s difficult to determine how to efficiently manage or deploy those systems today.
Merve Hickok and Marc Rotenberg, two TPQ Advisory Board members, wrote the lead article for this issue. In a world where data means power, vast amounts of data are collected every day by both private companies and government agencies, which then use this data to fuel complex systems for automated decision-making now broadly described as “Artificial Intelligence.” Activities managed with these AI systems range from policing to military, to access to public services and resources such as benefits, education, and employment. The expected benefits from having national talent, capacity, and capabilities to develop and deploy these systems also drive a lot of national governments to prioritize AI and digital policies. A crucial question for policymakers is how to reap the benefits while reducing the negative impacts of these sociotechnical systems on society.
Gabriela Ramos, Assistant Director-General for Social and Human Sciences of UNESCO, has written an article entitled “Ethics of AI and Democracy: UNESCO’s Recommendation’s Insights”. In her article, she discusses how artificial intelligence (AI) can affect democracy. The article discusses the ways in which Artificial Intelligence is affecting democratic processes, democratic values, and the political and social behavior of citizens. The article notes that the use of artificial intelligence, and its potential abuse by some government entities, as well as by big private corporations, poses a serious threat to rights-based democratic institutions, processes, and norms. UNESCO announced a remarkable consensus agreement among 193 member states creating the first-ever global standard on the ethics of AI that could serve as a blueprint for national AI legislation and a global AI ethics benchmark.
Paul Nemitz, Principal Adviser on Justice Policy at the EU Commission, addresses the question of what drives democracy. In his view, technology has undoubtedly shaped democracy. However, technology as well as legal rules regarding technology have shaped and have been shaped by democracy. This is why he says it is essential to develop and use technology according to democratic principles. He writes that there are libertarians today who purposefully design technological systems in such a way that challenges democratic control. It is, however, clear that there is enough counterpower and engagement, at least in Europe, to keep democracy functioning, as long as we work together to create rules that are sensible for democracy’s future and confirm democracy’s supremacy over technology and business interests.
Research associate at the University of Oxford and Professor at European University Cyprus, Paul Timmers, writes about how AI challenges sovereignty and democracy. AI is wonderful. AI is scary. AI is the path to paradise. AI is the path to hell. What do we make of these contradictory images when, in a world of AI, we seek to both protect sovereignty and respect democratic values? Neither a techno-utopian nor a dystopian view of AI is helpful. The direction of travel must be global guidance and national or regional AI law that stresses end-to-end accountability and AI transparency, while recognizing practical and fundamental limits.
Tania Sourdin, Dean of Newcastle Law School, Australia, asks: what if judges were replaced by AI? She believes that although AI will increasingly be used to support judges when making decisions in most jurisdictions, there will also be attempts over the next decade to totally replace judges with AI. Increasingly, we are seeing a shift towards Judge AI, and to a certain extent we are seeing shifts towards supporting Judge AI, which raises concerns related to democratic values, structures, and what judicial independence means. The reason for this may be partly due to the systems used being set up to support a legal interpretation that fails to allow for a nuanced and contextual view of the law.
Pam Dixon, Executive Director of the World Privacy Forum, writes about biometric technologies. She says that biometric technologies encompass many types, or modalities, of biometrics today, such as face recognition, iris recognition, fingerprint recognition, and DNA recognition, both separately and in combination. A growing body of law and regulations seeks to mitigate the risks associated with biometric technologies as they are increasingly understood as a technology of concern based on scientific data.
We invite you to learn more about how our world is changing. As a way to honor this milestone, we have assembled a list of articles from around the world from some of the best experts in their field. This issue would not be possible without the assistance of many people. In addition to the contributing authors, there were many other individuals who contributed greatly. TPQ’s team is proud to present you with this edition….(More)” (Full list)”
Web3 and the Trap of ‘For Good’
Article by By Scott Smith & Lina Srivastava : “There are three linked challenges baked into Web3 that any proponent of positive social impact must solve.
1. Decentralized tech doesn’t equal distributed power. Web3 has become synonymous with the decentralized web, and one of the selling points of Web3 technologies is decentralization or shared ownership of web infrastructure. But in reality, ownership is too often centralized by and for those with resources already, the wealthy (even if only coin-wealthy) and corporations.
As the example of NFT marketplace OpenSea demonstrates, risks are too easily distributed onto the users, even as the gains remain very much centralized for platform owners and a small minority of participants. Even Ethereum co-creator Vitalik Buterin has issued warnings about power concentration in Web3 token-based economies, saying crypto “whales” can have too much power in these economies. Systems become inherently extractive unless ownership is shared and distributed by a majority, particularly by those who are traditionally most vulnerable to exploitation.
For this reason, equitable power structures must be proactively designed in Web3 systems.
2. A significant percentage of existing power holders are already building their Web3 business models on exploitation and extraction. At present, these business models mine energy and other resources to the detriment of our climate and environment and of energy-poor communities, in some cases actively resuscitating wasteful or harmful power projects. They do so without addressing these concerns in their core business model (or even by creating offsets, a less desirable alternative but still better than nothing).
These models are meant to avoid accountability to platform users or vulnerable communities in either economic or environmental terms. But they nevertheless ask for our trust?
3. Building community trust takes more than decentralization. Those who are building over distributed technologies often claim it as a solution to a trust deficit, that “trust” is inherent to the systems. Except that it isn’t…(More)”
Scientific Foundations of Digital Governance and Transformation
Book by Yannis Charalabidis, Leif Skiftenes, Flak Gabriela, and Viale Pereira: “This book provides the latest research advancements and findings for the scientific systematization of knowledge regarding digital governance and transformation, such as core concepts, foundational principles, theories, methodologies, architectures, assessment frameworks and future directions. It brings forward the ingredients of this new domain, proposing its needed formal and systematic tools, exploring its relation with neighbouring scientific domains and finally prescribing the next steps for laying the foundations of a new science.The book is structured into three main areas. The first section focuses on contributions towards the purpose, ingredients and structure of the scientific foundations of digital transformation in the public sector. The second looks at the identification and description of domain’s scientific problems with a view to stabilizing research products, assessment methods and tools in a reusable, extendable and sustainable manner. The third envisions a pathway for future research to tackle broader governance problems via the applications of information and communication technologies in combination with innovative approaches from neighbouring scientific domains.
Contributing to the analysis of the scientific perspectives of digital governance and digital transformation, this book will be an indispensable tool for students, researchers and practitioners interested in digital governance, digital transformation, information systems, as well as ICT industry experts and policymakers charged with the design, deployment and implementation of public sector information systems….(More)”.
The effects of AI on the working lives of women
Report by Clementine Collett, Gina Neff and Livia Gouvea: “Globally, studies show that women in the labor force are paid less, hold fewer senior positions and participate less in science, technology, engineering and mathematics (STEM) fields. A 2019 UNESCO report found that women represent only 29% of science R&D positions globally and are already 25% less likely than men to know how to leverage digital technology for basic uses.
As the use and development of Artificial Intelligence (AI) continues to mature, its time to ask: What will tomorrows labor market look like for women? Are we effectively harnessing the power of AI to narrow gender equality gaps, or are we letting these gaps perpetuate, or even worse, widen?
This collaboration between UNESCO, the Inter-American Development Bank (IDB) and the Organisation for Economic Co-operation and Development (OECD) examines the effects of the use of AI on the working lives of women. By closely following the major stages of the workforce lifecycle from job requirements, to hiring to career progression and upskilling within the workplace – this joint report is a thorough introduction to issues related gender and AI and hopes to foster important conversations about womens equality in the future of work…(More)”
Imaginable: How to see the future coming and be ready for anything
Book by Jane McGonigal: “When we think about the future it can be difficult to feel that we have any control. We aren’t confident that we can take actions and make decisions that help determine what happens next. We want to feel prepared, hopeful and equipped, and to face the future with optimism. Or, better yet, change the future. But how do we map out our lives when it feels impossible to predict what the world will be like next week, let alone next year?
Jane McGonigal, a renowned future forecaster, reveals that ‘unimaginable’ events aren’t unimaginable before they happen. It is possible to see them coming and it’s a mindset that can be learned by engaging with tools, games, and ideas that will allow you to dive into the future before you live it.
By learning to think the unthinkable and imagine the unimaginable you can better plan for a future you’d like to see. And by seeing what’s coming faster, you can adapt to new challenges, reduce anxiety, and build hope and resilience…(More)”.
‘It’s like the wild west’: Data security in frontline aid
A Q&A on how aid workers handle sensitive data by Irwin Loy: “The cyber-attack on the International Committee of the Red Cross, discovered in January, was the latest high-profile breach to connect the dots between humanitarian data risks and real-world harms. Personal information belonging to more than 515,000 people was exposed in what the ICRC said was a “highly sophisticated” hack using tools employed mainly by states or state-backed groups.
But there are countless other examples of how the reams of data collected from some of the world’s most vulnerable communities can be compromised, misused, and mishandled.
“The biggest frontier in the humanitarian sector is the weaponisation of humanitarian data,” said Olivia Williams, a former aid worker who now specialises in information security at Apache iX, a UK-based defence consultancy.
She recently completed research – including surveys and interviews with more than 180 aid workers from 28 countries – examining how data is handled, and what agencies and frontline staff say they do to protect it.
Sensitive data is often collected on personal devices, sent over hotel WiFi, scrawled on scraps of paper then photographed and sent to headquarters via WhatsApp, or simply emailed and widely shared with partner organisations, aid workers told her.
The organisational security and privacy policies meant to guide how data is stored and protected? Impractical, irrelevant, and often ignored, Williams said.
Some frontline staff are taking information security into their own hands, devising their own systems of coding, filing, and securing data. One respondent kept paper files locked in their bedroom.
Aid workers from dozens of major UN agencies, NGOs, Red Cross organisations, and civil society groups took part in the survey.
Williams’ findings echo her own misgivings about data security in her previous deployments to crisis zones from northern Iraq to Nepal and the Philippines. Aid workers are increasingly alarmed about how data is handled, she said, while their employers are largely “oblivious” to what actually happens on the ground.
Williams spoke to The New Humanitarian about the unspoken power imbalance in data collection, why there’s so much data, and what aid workers can do to better protect it….(More)”.
Eight reasons responsible data for and about children matters
Article by Stefaan Verhulst and Andrew Young: “…The relationship between the datafication of everyday life and child welfare has generally been under-explored, both by researchers in data ethics and those who work to advance the rights of children. This neglect is a lost opportunity, and also poses a risk to children, who are in many ways at the forefront of the steady incursions of data into our lives. In what follows, over a series of two articles, we outline eight reasons why child welfare advocates should pay more attention to data, and why we need a framework for responsible data collection and use for children….(Part 1) and (Part2). (See also Responsible Data for Children).
Superpowers as Inspiration for Visualization
Paper by Wesley Willett et al: “We explore how the lens of fictional superpowers can help characterize how visualizations empower people and provide inspiration for new visualization systems. Researchers and practitioners often tout visualizations’ ability to “make the invisible visible” and to “enhance cognitive abilities.” Meanwhile superhero comics and other modern fiction often depict characters with similarly fantastic abilities that allow them to see and interpret the world in ways that transcend traditional human perception. We investigate the intersection of these domains, and show how the language of superpowers can be used to characterize existing visualization systems and suggest opportunities for new and empowering ones. We introduce two frameworks: The first characterizes seven underlying mechanisms that form the basis for a variety of visual superpowers portrayed in fiction. The second identifies seven ways in which visualization tools and interfaces can instill a sense of empowerment in the people who use them. Building on these observations, we illustrate a diverse set of “visualization superpowers” and highlight opportunities for the visualization community to create new systems and interactions that empower new experiences with data…(More).”