The Road to Wisdom: On Truth, Science, Faith, and Trust

Curated on Posted on by Stefaan Verhulst

Book by Francis Collins: “As the COVID-19 pandemic revealed, we have become not just a hyper-partisan society but also a deeply cynical one, distrustful of traditional sources of knowledge and wisdom. Skepticism about vaccines led to the needless deaths of at least 230,000 Americans. “Do your own research” is now a rallying cry in many online rabbit holes. Yet experts can make mistakes, and institutions can lose their moral compass. So how can we navigate through all this?

In The Road to Wisdom, Francis Collins reminds us of the four core sources of judgement and clear thinking: truth, science, faith, and trust. Drawing on his work from the Human Genome Project and heading the National Institutes of Health, as well as on ethics, philosophy, and Christian theology, Collins makes a robust, thoughtful case for each of these sources—their reliability, and their limits. Ultimately, he shows how they work together, not separately—and certainly not in conflict. It is only when we relink these four foundations of wisdom that we can begin to discern the best path forward in life.

​Thoughtful, accessible, winsome, and deeply wise, The Road to Wisdom leads us beyond current animosities to surer footing. Here is the moral, philosophical, and scientific framework with which to address the problems of our time—including distrust of public health, partisanship, racism, response to climate change, and threats to our democracy—but also to guide us in our daily lives. This is a book that will repay many readings, and resolve dilemmas that we all face every day…(More)”.

Hopes over fears: Can democratic deliberation increase positive emotions concerning the future?

Curated on Posted on by Stefaan Verhulst

Paper by Mikko Leino and Katariina Kulha: “Deliberative mini-publics have often been considered to be a potential way to promote future-oriented thinking. Still, thinking about the future can be hard as it can evoke negative emotions such as stress and anxiety. This article establishes why a more positive outlook towards the future can benefit long-term decision-making. Then, it explores whether and to what extent deliberative mini-publics can facilitate thinking about the future by moderating negative emotions and encouraging positive emotions. We analyzed an online mini-public held in the region of Satakunta, Finland, organized to involve the public in the drafting process of a regional plan extending until the year 2050. In addition to the standard practices related to mini-publics, the Citizens’ Assembly included an imaginary time travel exercise, Future Design, carried out with half of the participants. Our analysis makes use of both survey and qualitative data. We found that democratic deliberation can promote positive emotions, like hopefulness and compassion, and lessen negative emotions, such as fear and confusion, related to the future. There were, however, differences in how emotions developed in the various small groups. Interviews with participants shed further light onto how participants felt during the event and how their sentiments concerning the future changed…(More)”

Mapping AI Narratives at the Local Level

Curated on Posted on by Stefaan Verhulst

Article for Urban AI: “In May 2024, Nantes Métropole (France) launched a pioneering initiative titled “Nantes Débat de l’IA” (meaning “Nantes is Debating AI”). This year-long project is designed to curate the organization of events dedicated to artificial intelligence (AI) across the territory. The primary aim of this initiative is to foster dialogue among local stakeholders, enabling them to engage in meaningful discussions, exchange ideas, and develop a shared understanding of AI’s impact on the region.

Over the course of one year, the Nantes metropolitan area will host around sixty events focused on AI, bringing together a wide range of participants, including policymakers, businesses, researchers, and civil society. These events provide a platform for these diverse actors to share their perspectives, debate critical issues, and explore the potential opportunities and challenges AI presents. Through this collaborative process, the goal is to cultivate a common culture around AI, ensuring that all relevant voices are heard as the city navigates to integrate this transformative technology…(More)”.

Utilizing big data without domain knowledge impacts public health decision-making

Curated on Posted on by 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)”

Public Sector Innovation

Curated on Posted on by Stefaan Verhulst

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)”.

AI Localism Repository: A Tool for Local AI Governance

Curated on Posted on by Stefaan Verhulst

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)”

Governing AI for Humanity

Curated on Posted on by Stefaan Verhulst

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 for Participatory and Inclusive AI

Curated on Posted on by Stefaan Verhulst

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)”.

New Data Browser on education, science, and culture

Curated on Posted on by Stefaan Verhulst

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)”.

Global Citizen Deliberation on Artificial Intelligence

Curated on Posted on by Stefaan Verhulst

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)”.