Stefaan Verhulst
Paper by Miao Zhang, Salman Rahman, Vishwali Mhasawade and Rumi Chunara: “…New data sources and AI methods for extracting information are increasingly abundant and relevant to decision-making across societal applications. A notable example is street view imagery, available in over 100 countries, and purported to inform built environment interventions (e.g., adding sidewalks) for community health outcomes. However, biases can arise when decision-making does not account for data robustness or relies on spurious correlations. To investigate this risk, we analyzed 2.02 million Google Street View (GSV) images alongside health, demographic, and socioeconomic data from New York City. Findings demonstrate robustness challenges; built environment characteristics inferred from GSV labels at the intracity level often do not align with ground truth. Moreover, as average individual-level behavior of physical inactivity significantly mediates the impact of built environment features by census tract, intervention on features measured by GSV would be misestimated without proper model specification and consideration of this mediation mechanism. Using a causal framework accounting for these mediators, we determined that intervening by improving 10% of samples in the two lowest tertiles of physical inactivity would lead to a 4.17 (95% CI 3.84–4.55) or 17.2 (95% CI 14.4–21.3) times greater decrease in the prevalence of obesity or diabetes, respectively, compared to the same proportional intervention on the number of crosswalks by census tract. This study highlights critical issues of robustness and model specification in using emergent data sources, showing the data may not measure what is intended, and ignoring mediators can result in biased intervention effect estimates…(More)”
Book by Mehmet Akif Demircioglu and David B. Audretsch: “Governments around the world are under pressure to do more with less. Dispelling the conventional wisdom that government is the enemy of innovation, this book argues that the promise of innovation addressing the most compelling societal problems will only come to fruition if governments become full partners and participants in innovation. The authors provide a systematic overview, analysis, framework, research agenda, and strategic directions for the study of public sector innovation, examining drivers, sources, barriers, typologies, and outcomes of innovation along with ethics. They suggest that innovation in government requires a new approach to public sector strategy, organization, human resources, and culture. Featuring large data analyses and poignant case studies drawn from best practices across the globe, Demircioglu and Audretsch identify what works and what doesn’t in transforming governments from the periphery to the very heart of the most profound innovations driving societal change and development…(More)”.
About: “In a world where AI continues to be ever more entangled with our communities, cities, and decision-making processes, local governments are stepping up to address the challenges of AI governance. Today, we’re excited to announce the launch of the newly updated AI Localism Repository—a curated resource designed to help local governments, researchers, and citizens understand how AI is being governed at the state, city, or community level.
What is AI Localism?
AI Localism refers to the actions taken by local decision-makers to address AI governance in their communities. Unlike national or global policies, AI Localism offers immediate solutions tailored to specific local conditions, creating opportunities for greater effectiveness and accountability in the governance of AI.
What’s the AI Localism Repository?
The AI Localism Repository is a collection of examples of AI governance measures from around the world, focusing on how local governments are navigating the evolving landscape of AI. This resource is more than just a list of laws—it highlights innovative methods of AI governance, from the creation of expert advisory groups to the implementation of AI pilot programs.
Why AI Localism Matters
Local governments often face unique challenges in regulating AI, from ethical considerations to the social impact of AI in areas like law enforcement, housing, and employment. Yet, local initiatives are frequently overlooked by national and global AI policy observatories. The AI Localism Repository fills this gap, offering a platform for local policymakers to share their experiences and learn from one another…(More)”
The United Nations Secretary-General’s High-level Advisory Body on AI’s Final Report: “This report outlines a blueprint for addressing AI-related risks and sharing its transformative potential globally, including by:
- Urging the UN to lay the foundations of the first globally inclusive and distributed architecture for AI governance based on international cooperation;
- Proposing seven recommendations to address gaps in current AI governance arrangements;
- Calling on all governments and stakeholders to work together in governing AI to foster development and protection of all human rights.
This includes light institutional mechanisms to complement existing efforts and foster inclusive global AI governance arrangements that are agile, adaptive and effective to keep pace with AI’s evolution...(More)”.
Guidelines by the Partnership on AI’s Global Task Force for Inclusive AI: “..The objective is to help practitioners navigate the common challenges that arise in the process of stakeholder engagement to ensure their efforts remain authentic and as equity-oriented as possible. The resource aims to support individuals’ efforts in aligning their work with the needs of the communities they wish to serve, while reducing the likelihood of harms and risks those communities may face due to the development and deployment of AI technologies.
The Guidelines are separated into three major parts:
- Guidance & Guardrails Recommended best practices and guardrails for participatory stakeholder engagement strategies, including specific recommendations by common use cases for engaging with stakeholders as part of the AI development process
- Emerging Resources: AI Tools for Participatory and Inclusive AI Overview of the latest AI-enabled tools proposed to support stakeholder engagement activities, including a discussion of their potential applications and risks
- Additional Background Details about why we created this resource, the people who provided their expertise for the initial draft, and foundational concepts that serve as the basis for the Global Task Force’s recommendations and guidance…(More)”.
UNESCO: “The UIS is excited to introduce the new UIS Data Browser, which brings together all our data on education, science, and culture, making it a convenient resource for everyone, from policymakers to researchers.
With a refreshed interface, users can easily view and download customized data for their needs. The new browser also offers better tools for exploring metadata and documentation. Plus, the browser has great visualization features. You can filter indicators by country or region and create line or bar charts to see trends over time. It’s easy to share your findings on social media, too!
For those who like to dive deeper, a web-based UIS Data Application Programming Interface (API) allows for more technical data extraction for use in reports and applications. The UIS Data API provides access to all education, science, and culture data available on the UIS data browser through HTTP requests. It allows for the regular retrieval of data for custom analysis, visualizations, and applications…(More)”.
Report by Connected by Data: “This report explores how global citizen deliberation, particularly drawing on the concept of a global citizens’ assembly, could and should shape the future of artificial intelligence. Drawing on an extended design lab of in-depth interviews and workshops that took place in mid-2024, it presents a series of options for bringing the voices of those affected by AI development and deployment into decision-making spaces, through processes that can deliver informed and inclusive dialogue… In this report we address how established and emerging sites of global AI development and governance can integrate citizen deliberation, setting out five template options for citizens’ assemblies on AI: deliberative review of AI summits and scientific reports; an independent global assembly on AI; a series of distributed dialogues organized across the globe; a technology-enabled collective intelligence process; and commissioning the inclusion of AI topics in other deliberative processes…(More)”.
Article by Ian Diamond (UK): “..I’m excited about the potential of new data sources, and I want everyone in the UK to have the skills to understand and use the stats they allow us to create. With this in mind, we’re launching a whole host of new projects to bring our stats to the people:
How to videos
To benefit from stats, and be confident that they are reliable, we need to understand more about the data they have been derived from and how to read and use them.
Our new set of video guides are a great place to start, covering topics such as why data matters to how the ONS de-identifies them and where we get them from.
They are all available to watch on our YouTube channel.
Playground survey
During the 2023/2024 school year, we teamed up with the BBC and the Micro:bit Foundation to give children in primary schools the opportunity to take part in a nationwide playground survey.
The BBC Micro:bit Playground Survey is a wonderful way for children to learn data skills at an early age, getting to grips with data collection and analysis in a way that is relevant to their everyday lives, in a familiar and fun setting.
If children become data-literate now, they will be well prepared to navigate and take advantage of the huge amounts of data that will no doubt play an important role in their adult lives.
Keep an eye out for the results in October.
Navigating numbers – the ONS data education programme
We’ve also been busy developing a data education programme for students in further education or sixth form.
Navigating numbers: how data are used to create statistics includes a series of five classroom toolkits, exploring topics such as gender pay gaps, inflation, and health.
Created with the support of the Association of Colleges (AoC), this learning resource is free for teachers to use and available for download on the ONS website.
The ONS’s educational webinar series: Bringing data to life
If you want to learn more about measuring the cost of living or our nation’s health, then our new webinar series has you covered. These and other topics will be brought to life in this new series of online events, launching in September 2024…(More)”
Report by James Henderson and Oliver Escobar: “The review aims to contribute to the growing discourse on the commons, highlighting its significance in contemporary societies and its potential as an alternative to traditional forms of socioeconomic and political organisation via the state and/or the market. Practitioners in the field argue that we are witnessing a revival of the commons in the 21st century. This report interrogates the nature of that revival and explores key concepts, examples, trends and debates in theory and practice, while outlining an emerging research agenda…(More)”.
WEF Report: “Automated decision-making systems based on algorithms and data are increasingly common today, with profound implications for individuals, communities and society. More than ever before, data equity is a shared responsibility that requires collective action to create data practices and systems that promote fair and just outcomes for all.
This paper, produced by members of the Global Future Council on Data Equity, proposes a data equity definition and framework for inquiry that spurs ongoing dialogue and continuous action towards implementing data equity in organizations. This framework serves as a dynamic tool for stakeholders committed to operationalizing data equity, across various sectors and regions, given the rapidly evolving data and technology landscapes…(More)”.