Digital Inclusion: International Policy and Research


Book edited by Simeon Yates and Elinor Carmi: “This collection presents policy and research that addresses digital inequalities, access, and skills, from multiple international perspectives.  With a special focus on the impact of the COVID-19, the collection is based on the 2021 Digital Inclusion, Policy and Research Conference, with chapters from both academia and civic organizations.

The COVID-19 pandemic has changed citizens’ relationship with digital technologies for the foreseeable future. Many people’s main channels of communication were transferred to digital services, platforms, and apps. Everything ‘went online’: our families, friends, partners, health, work, news, politics, culture, arts and protesting. Yet access to digital technologies remained highly unequal. This brought digital inclusion policy and research to the fore, highlighting to policymakers and the public the ‘hidden’ challenges and impacts of digital exclusion and inequalities.

The cutting-edge volume offers research findings and policycase studies that explore digital inclusion from the provision of basic access to digital, via education and digital literacy, and on to issues of gender and technology.  Case studies are drawn from varied sources including the UK, Australia, South America, and Eastern Europe, providing a valuable resource in the pursuit of social equity and justice…(More)”

Regulatory experimentation: Moving ahead on the agile regulatory governance agenda


OECD Policy Paper: “This policy paper aims to help governments develop regulatory experimentation constructively and appropriately as part of their implementation of the 2021 OECD Recommendation for Agile Regulatory Governance to Harness Innovation. Regulatory experimentation can help promote adaptive learning and innovative and better-informed regulatory policies and practices. This policy paper examines key concepts, definitions and constitutive elements of regulatory experimentation. It outlines the rationale for using regulatory experimentation, discusses enabling factors and governance requirements, and presents a set of forward-looking conclusions…(More)”.

Plurality: The Future of Collaborative Technology and Democracy


Book by E. Glen Weyl, Audrey Tang and ⿻ Community: “Technology and democracy today are at odds: technology reinforces authoritarian oversight and corrupts democratic institutions, while democracies fight back with restrictive regulation and public sector conservatism. However, this conflict is not inevitable. This is the consequence of choosing to invest in technologies such as AI and cryptocurrencies at the expense of democratic principles. In some places, such as the Ether community, Estonia, Colorado, and especially Taiwan, the focus has shifted to technologies that promote pluralistic collaboration, and have witnessed the co-prosperity of both democracy and technology. Written by the paradigm leaders of the Plurality, this book shows for the first time how every technologist, policymaker, business leader, and activist can use it to build a more collaborative, diverse, and productive democratic world.

When Uber arrived in Taiwan, it sparked a lot of controversy, as it has in most parts of the world. But instead of fueling the controversy, social media, with the help of vTaiwan, a platform developed with the help of cabinet ministers, encouraged citizens to share their feelings and engage in deep conversations with thousands of participants to brainstorm how to regulate online ride-hailing services. The technology, which uses statistical tools often associated with AI to aggregate opinions, allows each participant to quickly view a clear representation of all people’s viewpoints and provide feedback on their own thoughts. From the outset, a broadly supported viewpoint is brought to the forefront among a diverse group of people with different perspectives, creating a rough consensus that ensures the benefits of this new form of ridesharing while protecting the rights of the drivers, and is implemented by the government. This process has been used in Taiwan to solve dozens of controversial problems and has quickly spread to governments, cooperatives, and blockchain communities around the world…(More)”.

Data Authenticity, Consent, and Provenance for AI Are All Broken: What Will It Take to Fix Them?


Article by Shayne Longpre et al: “New AI capabilities are owed in large part to massive, widely sourced, and underdocumented training data collections. Dubious collection practices have spurred crises in data transparency, authenticity, consent, privacy, representation, bias, copyright infringement, and the overall development of ethical and trustworthy AI systems. In response, AI regulation is emphasizing the need for training data transparency to understand AI model limitations. Based on a large-scale analysis of the AI training data landscape and existing solutions, we identify the missing infrastructure to facilitate responsible AI development practices. We explain why existing tools for data authenticity, consent, and documentation alone are unable to solve the core problems facing the AI community, and outline how policymakers, developers, and data creators can facilitate responsible AI development, through universal data provenance standards…(More)”.

AI and the Future of Government: Unexpected Effects and Critical Challenges


Policy Brief by Tiago C. Peixoto, Otaviano Canuto, and Luke Jordan: “Based on observable facts, this policy paper explores some of the less- acknowledged yet critically important ways in which artificial intelligence (AI) may affect the public sector and its role. Our focus is on those areas where AI’s influence might be understated currently, but where it has substantial implications for future government policies and actions.

We identify four main areas of impact that could redefine the public sector role, require new answers from it, or both. These areas are the emergence of a new language-based digital divide, jobs displacement in the public administration, disruptions in revenue mobilization, and declining government responsiveness.

This discussion not only identifies critical areas but also underscores the importance of transcending conventional approaches in tackling them. As we examine these challenges, we shed light on their significance, seeking to inform policymakers and stakeholders about the nuanced ways in which AI may quietly, yet profoundly, alter the public sector landscape…(More)”.

AI for Good: Applications in Sustainability, Humanitarian Action, and Health


Book by Juan M. Lavista Ferres and William B. Weeks: “…an insightful and fascinating discussion of how one of the world’s most recognizable software companies is tacking intractable social problems with the power of artificial intelligence (AI). In the book, you’ll learn about how climate change, illness and disease, and challenges to fundamental human rights are all being fought using replicable methods and reusable AI code.

The authors also provide:

  • Easy-to-follow, non-technical explanations of what AI is and how it works
  • Examinations of how healthcare is being improved, climate change is being addressed, and humanitarian aid is being facilitated around the world with AI
  • Discussions of the future of AI in the realm of social benefit organizations and efforts

An essential guide to impactful social change with artificial intelligence, AI for Good is a must-read resource for technical and non-technical professionals interested in AI’s social potential, as well as policymakers, regulators, NGO professionals, and, and non-profit volunteers…(More)”.

The Cambridge Handbook of Facial Recognition in the Modern State


Book edited by Rita Matulionyte and Monika Zalnieriute: “In situations ranging from border control to policing and welfare, governments are using automated facial recognition technology (FRT) to collect taxes, prevent crime, police cities and control immigration. FRT involves the processing of a person’s facial image, usually for identification, categorisation or counting. This ambitious handbook brings together a diverse group of legal, computer, communications, and social and political science scholars to shed light on how FRT has been developed, used by public authorities, and regulated in different jurisdictions across five continents. Informed by their experiences working on FRT across the globe, chapter authors analyse the increasing deployment of FRT in public and private life. The collection argues for the passage of new laws, rules, frameworks, and approaches to prevent harms of FRT in the modern state and advances the debate on scrutiny of power and accountability of public authorities which use FRT…(More)”.

Designing Digital Voting Systems for Citizens


Paper by Joshua C. Yang et al: “Participatory Budgeting (PB) has evolved into a key democratic instrument for resource allocation in cities. Enabled by digital platforms, cities now have the opportunity to let citizens directly propose and vote on urban projects, using different voting input and aggregation rules. However, the choices cities make in terms of the rules of their PB have often not been informed by academic studies on voter behaviour and preferences. Therefore, this work presents the results of behavioural experiments where participants were asked to vote in a fictional PB setting. We identified approaches to designing PB voting that minimise cognitive load and enhance the perceived fairness and legitimacy of the digital process from the citizens’ perspective. In our study, participants preferred voting input formats that are more expressive (like rankings and distributing points) over simpler formats (like approval voting). Participants also indicated a desire for the budget to be fairly distributed across city districts and project categories. Participants found the Method of Equal Shares voting rule to be fairer than the conventional Greedy voting rule. These findings offer actionable insights for digital governance, contributing to the development of fairer and more transparent digital systems and collective decision-making processes for citizens…(More)”.

The Non-Coherence Theory of Digital Human Rights


Book by Mart Susi: “…offers a novel non-coherence theory of digital human rights to explain the change in meaning and scope of human rights rules, principles, ideas and concepts, and the interrelationships and related actors, when moving from the physical domain into the online domain. The transposition into the digital reality can alter the meaning of well-established offline human rights to a wider or narrower extent, impacting core concepts such as transparency, legal certainty and foreseeability. Susi analyses the ‘loss in transposition’ of some core features of the rights to privacy and freedom of expression. The non-coherence theory is used to explore key human rights theoretical concepts, such as the network society approach, the capabilities approach, transversality, and self-normativity, and it is also applied to e-state and artificial intelligence, challenging the idea of the sameness of rights…(More)”.

The Need for Climate Data Stewardship: 10 Tensions and Reflections regarding Climate Data Governance


Paper by Stefaan Verhulst: “Datafication — the increase in data generation and advancements in data analysis — offers new possibilities for governing and tackling worldwide challenges such as climate change. However, employing new data sources in policymaking carries various risks, such as exacerbating inequalities, introducing biases, and creating gaps in access. This paper articulates ten core tensions related to climate data and its implications for climate data governance, ranging from the diversity of data sources and stakeholders to issues of quality, access, and the balancing act between local needs and global imperatives. Through examining these tensions, the article advocates for a paradigm shift towards multi-stakeholder governance, data stewardship, and equitable data practices to harness the potential of climate data for public good. It underscores the critical role of data stewards in navigating these challenges, fostering a responsible data ecology, and ultimately contributing to a more sustainable and just approach to climate action and broader social issues…(More)”.