Modularity for International Internet Governance


Essay by Chris Riley and Susan Ness: “The modern-day “global” internet faces a dubious future. On the battle lines of internet freedom, Russia’s increasing authoritarian control aspires to China’s great firewall levels, while the annual Freedom on the Net report for 2021 found a global decline in internet freedom for the 11th straight year. The same report also noted that at least 48 separate countries explored increasing governmental oversight over the tech sector. 

In the midst of increasing global division lies, perhaps, a core of unity: a worldwide interest among democracies in changing the status quo of internet governance to improve the baseline of responsibility and accountability for digital platforms. And for this problem, at least, there is hope—perhaps distant hope—for the possibility of increasing alignment. We propose that modularity can be a useful and tractable approach to improve digital platform accountability through harmonized policies and practices among nations embracing the rule of law.

Modularity is a form of multistakeholder, co-regulatory governance, in which modules—discrete mechanisms, protocols, and codes—are developed through processes that include a range of perspectives. Modularity produces, to the extent possible, internationally aligned corporate technical and business practices through shared mechanisms that achieve compliance with multiple legal jurisdictions, without the need for a new international treaty.

Think of modularity as a five-step process. First, problem identification: One or more governments—working together or separately—identify an open challenge. For example, vetting researchers as part of a digital platform data access mandate. Second, module formation: A group of experts (which may or may not include government representatives) collaborates to develop a module that includes both standards and processes for addressing the problem, and is designed for use across multiple jurisdictions. Third, validation: Individual governments evaluate and approve the module by indicating that its output—such as a decision that individual research projects should be cleared to receive platform data—can be used to satisfy requirement(s) set out in their respective underlying legislation. Fourth, execution: Systems created through the module apply the module’s protocols to individual circumstances. (In this instance, vetting research projects applying for clearance.) Finally, enforcement and analysis: Each government uses its national policies and procedures to ensure digital platform compliance, and periodically assesses the module process to ensure it remains fit-for-purpose. 

Modularity offers many advantages for digital platform governance. It helps norms and expectations evolve along with rapidly evolving technology, while maintaining the force of law, without the obstacles and delays inherent in separately amending each of the underlying laws. And it helps close substantive gaps present in many platform legislative frameworks being developed today. But making it a reality will require governments to be willing to embrace an aligned path forward through disparate legal and political systems…(More)”

Global Data Governance Mapping Project: Year Two Report


Report by Thomas Struett, Adam Zable, and Susan Ariel Aaronson, Ph.D.: “…The Digital Trade and Data Governance Hub (the Hub) seeks to help policymakers and the public understand how governments around the world govern data. For many governments, governing various types of data has become an essential, albeit challenging, task, because government officials must justify and launch new strategies, structures, policies, and processes. In 2021 researchers at the Hub designed a new evidence-based metric to characterize a comprehensive approach to data governance at both the national and international levels. We hoped that by doing so, we could help create a broader understanding of data governance. 

The OECD defines data governance as principles and policy guidance on how governments can maximize the cross-sectoral benefits of all types of data (personal, non-personal, open, proprietary, public, and private) while protecting the rights of individuals and organizations.3 A comprehensive approach includes strategies, policies, processes, and organizational structure. A comprehensive approach also governs different types of data use and re-use. 

The Hub’s metric includes 6 attributes of data governance (strategies; laws and regulations; structural changes; human rights and ethical guidelines; involving their public; and mechanisms for international cooperation). We then use 26 indicators which provide evidence of comprehensive governance. 

Key Findings 

01. Consistent performance over the two year period The UK, Germany, Australia, New Zealand, and France take the most comprehensive approach to data governance at the national and international levels. This finding is consistent with our first iteration, where these countries were also in the top five (See Chart 1). 

02. Income disparities in data governance Taking our attributes in sum, what the World Bank terms high income nations do more to govern data and in particular do more on the international and responsible attributes. In contrast, lower and middle income countries tend to focus their data governance efforts on structural or regulatory actions to govern data rather than develop strategies or put forward human rights/ethical guidelines (Chart 2 and 3). 

03. Shared evidence of key components of comprehensive data governance Most of our case studies have enacted or created a freedom of information law, an open data portal, a public data protection law, and a public consultation related to data governance or data driven sectors (Chart 4). 

04. Growing importance of digital trade agreements as a form of data governance We noted an increase in the number of nations adhering to a trade agreement with the free flow of data (with exceptions) as the default. 

05. Advice from experts Most nations have created advisory committees to govern data and data driven technologies, but these committees are mainly composed of representatives of business, government, and academia rather than representatives of the broad public. By including such representatives, policymakers may be better able to anticipate and understand data driven issues that could affect public trust.

06. Policymakers are generally not responsive to public concerns regarding data governance Although most countries seek public comment on proposed laws and regulations related to data, we have little evidence that policymakers revise their data governance policies in response to public concerns…(More)”.

Reimagining Data and Power: A roadmap for putting values at the heart of data


Paper by The Data Values Project: “This paper sets out the key themes that emerged from the consultation and describes a collective vision for a fair data future with agency, accountability, and action as its core features. Agency in data refers to having power to shape personal and/or community data and deciding whether, when, and with whom to share it. Accountability in data means that people have access to mechanisms to shape data governance decisions and to hold the powerful accountable. Data in action refers to the imperative of data producers and decision makers to use and share data to improve lives.

Building on these themes, the Data Values Project will advocate for actions that shift power to the people most affected by data production and use. This paper captures examples and stories that show these actions are already being taken by pro-active governments, companies, and civil society organizations around the world. These examples show what’s possible and already happening, while pointing to the distance that remains to achieve a fair data future for all.

This paper is only the first step to changing power imbalances in data design, collection, use, and governance. A global campaign to advocate for the values laid out in this white paper will launch in September at the United Nations General Assembly. Alongside this global campaign, champions and changemakers will lead localized advocacy efforts by tailoring messages and recommendations for actions at the local, sectoral, and regional levels.

The Data Values Project envisions a world where people can be equal players in the production and use of data that impacts them. This vision is for a fair data future in which the power of data is harnessed and its benefits are shared equitably to improve lives and ensure no one is left behind…(More)”.

Social Noise: What Is It, and Why Should We Care?


Article by Tara Zimmerman: “As social media, online relationships, and perceived social expectations on platforms such as Facebook play a greater role in people’s lives, a new phenomenon has emerged: social noise. Social noise is the influence of personal and relational factors on information received, which can confuse, distort, or even change the intended message. Influenced by social noise, people are likely to moderate their response to information based on cues regarding what behavior is acceptable or desirable within their social network. This may be done consciously or unconsciously as individuals strive to present themselves in ways that increase their social capital. For example, this might be seen as liking or sharing information posted by a friend or family member as a show of support despite having no strong feelings toward the information itself. Similarly, someone might refrain from liking, sharing, or commenting on information they strongly agree with because they believe others in their social network would disapprove.

This study reveals that social media users’ awareness of observation by others does impact their information behavior. Efforts to craft a personal reputation, build or maintain relationships, pursue important commitments, and manage conflict all influence the observable information behavior of
social media users. As a result, observable social media information behavior may not be an accurate reflection of an individual’s true thoughts and beliefs. This is particularly interesting in light of the role social media plays in the spread of mis- and disinformation…(More)”.

Corruption Risk Forecast


About: “Starting with 2015 and building on the work of Alina Mungiu-Pippidi the European Research Centre for Anti-Corruption and State-Building (ERCAS) engaged in the development of a new generation of corruption indicators to fill the gap. This led to the creation of the Index for Public Integrity (IPI) in 2017, of the Corruption Risk Forecast in 2020 and of the T-index (de jure and de facto computer mediated government transparency) in 2021. Also since 2021 a component of the T-index (administrative transparency) is included in the IPI, whose components also offer the basis for the Corruption Risk Forecast.

This generation is different from perception indicators in a few fundamental aspects:

  1. Theory-grounded. Our indicators are unique because they are based on a clear theory- why corruption happens, how do countries that control corruption differ from those that don’t and what specifically is broken and should be fixed. We tested for a large variety of indicators before we decided on these ones.
  2. Specific. Each component is a measurement based on facts of a certain aspect of control of corruption or transparency. Read methodology to follow in detail where the data comes from and how these indicators were selected.
  3. Change sensitive. Except for the T-index components whose monitoring started in 2021 all other components go back in time at least 12 years and can be compared across years in the Trends menu on the Corruption Risk forecast page. No statistical process blurs the difference across years as with perception indicators. For long term trends, we flag what change is significant and what change is not. T-index components will also be comparable across the nest years to come. Furthermore, our indicators are selected to be actionable, so any significant policy intervention which has an impact is captured and reported when we renew the data.
  4. Comparative. You can compare every country we cover with the rest of the world to see exactly where it stands, and against its peers from the region and the income group.
  5. Transparent. Our T-index dataallows you to review and contribute to our work. Use the feedback form on T-index page to send input, and after checking by our team we will upgrade the codes to include your contribution. Use the feedback form on Corruption Risk forecast page to contribute to the forecast…(More)”.

The Model Is The Message


Essay by Benjamin Bratton and Blaise Agüera y Arcas: “An odd controversy appeared in the news cycle last month when a Google engineer, Blake Lemoine, was placed on leave after publicly releasing transcripts of conversations with LaMDA, a chatbot based on a Large Language Model (LLM) that he claims is conscious, sentient and a person.

Like most other observers, we do not conclude that LaMDA is conscious in the ways that Lemoine believes it to be. His inference is clearly based in motivated anthropomorphic projection. At the same time, it is also possible that these kinds of artificial intelligence (AI) are “intelligent” — and even “conscious” in some way — depending on how those terms are defined.

Still, neither of these terms can be very useful if they are defined in strongly anthropocentric ways. An AI may also be one and not the other, and it may be useful to distinguish sentience from both intelligence and consciousness. For example, an AI may be genuinely intelligent in some way but only sentient in the restrictive sense of sensing and acting deliberately on external information. Perhaps the real lesson for philosophy of AI is that reality has outpaced the available language to parse what is already at hand. A more precise vocabulary is essential.

AI and the philosophy of AI have deeply intertwined histories, each bending the other in uneven ways. Just like core AI research, the philosophy of AI goes through phases. Sometimes it is content to apply philosophy (“what would Kant say about driverless cars?”) and sometimes it is energized to invent new concepts and terms to make sense of technologies before, during and after their emergence. Today, we need more of the latter.

We need more specific and creative language that can cut the knots around terms like “sentience,” “ethics,” “intelligence,” and even “artificial,” in order to name and measure what is already here and orient what is to come. Without this, confusion ensues — for example, the cultural split between those eager to speculate on the sentience of rocks and rivers yet dismiss AI as corporate PR vs. those who think their chatbots are persons because all possible intelligence is humanlike in form and appearance. This is a poor substitute for viable, creative foresight. The curious case of synthetic language  — language intelligently produced or interpreted by machines — is exemplary of what is wrong with present approaches, but also demonstrative of what alternatives are possible…(More)”.

Artificial Intelligence in the City: Building Civic Engagement and Public Trust


Collection of essays edited by Ana Brandusescu, Ana, and Jess Reia: “After navigating various challenging policy and regulatory contexts over the years, in different regions, we joined efforts to create a space that offers possibilities for engagement focused on the expertise, experiences and hopes to shape the future of technology in urban areas. The AI in the City project emerged as an opportunity to connect people, organizations, and resources in the networks we built over the last decade of work on research and advocacy in tech policy. Sharing non-Western and Western perspectives from five continents, the contributors questioned, challenged, and envisioned ways public trust and meaningful civic engagement can flourish and persist as data and AI become increasingly pervasive in our lives. This collection of essays brings together a group of multidisciplinary scholars, activists, and practitioners working on a diverse range of initiatives to map strategies going forward. Divided into five parts, the collection brings into focus: 1) Meaningful engagement and public participation; 2) Addressing inequalities and building trust; 3) Public and private boundaries in tech policy; 4) Legal perspectives and mechanisms for accountability; and 5) New directions for local and urban governance. The focus on civil society and academia was deliberate: a way to listen to and learn with people who have dedicated many years to public interest advocacy, governance and policy that represents the interests of their communities…(More)”.

14 tech-based innovations tackle youth mental health challenges


Blog by Elisha London and Anna Huber: “Depression, anxiety and behavioural conditions are the leading cause of illness for young people and suicide is the fourth most prevalent cause of death amongst 15- to 19-year-olds. Meanwhile, around 50 per cent of mental health conditions begin by the age 14 and 75 per cent by age 24. So, if youth mental health challenges and their environmental factors aren’t addressed, they extend into adulthood. Conversely, having good mental health means being better able to cope, connect and function, leading to more fulfilling and productive lives…

The Uplink Youth Mental Health Challenge by the World Economic Forum sought to identify some of the leading innovations around the world working to address these transformational needs, especially those led by young people themselves….

Here are the top 14 innovators selected:

1. Attensi and Dr. Raknes have developed the learning simulation Helping Hand, with the aim of preventing mental health disorders in adolescents. The game takes players through a series of life-like scenarios to reinforce positive decision-making, facilitate talking about feelings and thoughts, helping others master challenges and asking for help when needed.

2. Neolth Inc. offers a range of activities to help teens build coping skills and learn about mental health. Upon sign up, its proprietary algorithm matches teens with content personalized for their health needs, such as educational videos by clinicians and stigma-reducing content about lived experiences by teens.

3. Onkout connects a culturally relevant and unique trauma-informed, collective mental health peer support program to a virtual business training program, and the financial tools to improve young people’s lives. It supports young people in conflict-affected countries to be able to access services that are currently not available

4. Opa Mind has developed a “Voice Driven” support platform for people who struggle with emotional & mental health pressures. Opa Mind’s voice input system can listen and display various emotional based metrics, vocal biomarkers and supports, enabling individuals to undertake actionable follow-up steps in order to improve health and wellbeing.

5. OPTT, together with Curatio, offer an online psychotherapy tool to provide a technology-embedded, peer-to-peer social network for improved health outcomes. They allow mental wellness content producers, mental health teams, local health providers, and communities to work together to offer solutions proactively to their community members.

6. Renewal International Trust developed Positive Konnections (PK), a mobile application with a mental health intervention for young people with HIV that is designed to counter effects of stigma and help them access services privately or anonymously. The PK model uses creative narrative therapy techniques delivered on an accessible, youth-friendly platform…(More)”

The People Versus The Algorithm: Stakeholders and AI Accountability


Paper by Jbid Arsenyan and Julia Roloff: “As artificial intelligence (AI) applications are used for a wide range of tasks, the question about who is responsible for detecting and remediating problems caused by AI applications remains disputed. We argue that responsibility attributions proposed by management scholars fail to enable a practical solution as two aspects are overlooked: the difficulty to design a complex algorithm that does not produce adverse outcomes, and the conflict of interest inherited in some AI applications by design as proprietors and users employ the application for different purposes. In this conceptual paper, we argue that effective accountability can only be delivered through solutions that enable stakeholders to employ their collective intelligence effectively in compiling problem reports and analyze problem patterns. This allows stakeholders, including governments, to hold providers of AI applications accountable, and ensure that appropriate corrections are carried out in a timely manner…(More)”.

Mobile Big Data for Cities: Urban climate resilience strategies for low- and middle-income countries


GSMA Report: “Cities in low- and middle-income countries (LMICs) are increasingly vulnerable to the impacts of climate change, including rising sea levels and storm surges, heat stress, extreme precipitation, inland and coastal flooding and landslides. The physical effects of climate change have disrupted supply chains, led to lost productivity from health issues and incurred costs associated with rebuilding or repairing physical assets, such as buildings and transport infrastructure.

Resulting from the adverse effects of climate change, municipal governments and systems often lack the adaptive capacity or resources to keep up. Hence, the adaptative capacity of cities can be enhanced by corresponding to more comprehensive and real-time data. Such data will give municipal agencies the ability to watch events as they unfold, understand how demand patterns are changing and respond with faster and lower-cost solutions. This provides a solid basis for innovative data sources, such as mobile big data (MBD), to help strengthen urban climate resilience.

This study highlights the potential value of using mobile big data (MBD) in preparing for and responding to climate-related disasters in cities. In line with the “3As” of urban climate resilience, a framework adopted by the GSMA Mobile for Development programme, this study examines how MBD could help cities and their populations adapt to multiple long-term challenges brought about by climate change, anticipate climate hazards or events and/or absorb (face, manage and recover from) adverse conditions, emergencies or disasters…(More)”.