The Case for Local and Regional Public Engagement in Governing Artificial Intelligence


Article by Stefaan Verhulst and Claudia Chwalisz: “As the Paris AI Action Summit approaches, the world’s attention will once again turn to the urgent questions surrounding how we govern artificial intelligence responsibly. Discussions will inevitably include calls for global coordination and participation, exemplified by several proposals for a Global Citizens’ Assembly on AI. While such initiatives aim to foster inclusivity, the reality is that meaningful deliberation and actionable outcomes often emerge most effectively at the local and regional levels.

Building on earlier reflections in “AI Globalism and AI Localism,” we argue that to govern AI for public benefit, we must prioritize building public engagement capacity closer to the communities where AI systems are deployed. Localized engagement not only ensures relevance to specific cultural, social, and economic contexts but also equips communities with the agency to shape both policy and product development in ways that reflect their needs and values.

While a Global Citizens’ Assembly sounds like a great idea on the surface, there is no public authority with teeth or enforcement mechanisms at that level of governance. The Paris Summit represents an opportunity to rethink existing AI governance frameworks, reorienting them toward an approach that is grounded in lived, local realities and mutually respectful processes of co-creation. Toward that end, we elaborate below on proposals for: local and regional AI assemblies; AI citizens’ assemblies for EU policy; capacity-building programs, and localized data governance models…(More)”.

State of Digital Local Government


Report by the Local Government Association (UK): “This report is themed around four inter-related areas on the state of local government digital: market concentration, service delivery, technology, and delivery capabilities.  It is particularly challenging to assess the current state of digital transformation in local government, given the diversity of experience, resources and lack of consistent data collection on digital transformation and technology estates. 

This report is informed through our regular and extensive engagement with local government, primary research carried out by the LGA, and the research of stakeholders. It is worth noting that research on market concentration is challenging as it is a highly sensitive area.

Key messages:

  1. Local Government is a vital part of the public sector innovation ecosystem. Local government needs their priorities and context to be understood within cross public sector digital transformation ambitions through representation on public sector strategic boards and subsequently integrated into the design of public sector guidance and cross-government products at the earliest point. This will reduce the likelihood of duplication at public expense. Local government must also have equivalent access to training as civil servants…(More)”.

How and When to Involve Crowds in Scientific Research


Book by Marion K. Poetz and Henry Sauermann: “This book explores how millions of people can significantly contribute to scientific research with their effort and experience, even if they are not working at scientific institutions and may not have formal scientific training. 

Drawing on a strong foundation of scholarship on crowd involvement, this book helps researchers recognize and understand the benefits and challenges of crowd involvement across key stages of the scientific process. Designed as a practical toolkit, it enables scientists to critically assess the potential of crowd participation, determine when it can be most effective, and implement it to achieve meaningful scientific and societal outcomes.

The book also discusses how recent developments in artificial intelligence (AI) shape the role of crowds in scientific research and can enhance the effectiveness of crowd science projects…(More)”

Nearly all Americans use AI, though most dislike it, poll shows


Axios: “The vast majority of Americans use products that involve AI, but their views of the technology remain overwhelmingly negative, according to a Gallup-Telescope survey published Wednesday.

Why it matters: The rapid advancement of generative AI threatens to have far-reaching consequences for Americans’ everyday lives, including reshaping the job marketimpacting elections, and affecting the health care industry.

The big picture: An estimated 99% of Americans used at least one AI-enabled product in the past week, but nearly two-thirds didn’t realize they were doing so, according to the poll’s findings.

  • These products included navigation apps, personal virtual assistants, weather forecasting apps, streaming services, shopping websites and social media platforms.
  • Ellyn Maese, a senior research consultant at Gallup, told Axios that the disconnect is because there is “a lot of confusion when it comes to what is just a computer program versus what is truly AI and intelligent.”

Zoom in: Despite its prevalent use, Americans’ views of AI remain overwhelmingly bleak, the survey found.

  • 72% of those surveyed had a “somewhat” or “very” negative opinion of how AI would impact the spread of false information, while 64% said the same about how it affects social connections.
  • The only area where a majority of Americans (61%) had a positive view of AI’s impact was regarding how it might help medical diagnosis and treatment…

State of play: The survey found that 68% of Americans believe the government and businesses equally bear responsibility for addressing the spread of false information related to AI.

  • 63% said the same about personal data privacy violations.
  • Majorities of those surveyed felt the same about combatting the unauthorized use of individuals’ likenesses (62%) and AI’s impact on job losses (52%).
  • In fact, the only area where Americans felt differently was when it came to national security threats; 62% of those surveyed said the government bore primary responsibility for reducing such threats…(More).”

Data sharing restrictions are hampering precision health in the European Union


Paper by Cristina Legido-Quigley et al: “Contemporary healthcare is undergoing a transition, shifting from a population-based approach to personalized medicine on an individual level. In October 2023, the European Partnership for Personalized Medicine was officially launched to communicate the benefits of this approach to citizens and healthcare systems in member countries. The main debate revolves around the inconsistency in regulatory changes within personal data access and its potential commercialization. Moreover, the lack of unified consensus within European Union (EU) countries is leading to problems with data sharing to progress personalized medicine. Here we discuss the integration of biological data with personal information on a European scale for the advancement of personalized medicine, raising legal considerations of data protection under the EU General Data Protection Regulation (GDPR)…(More)”.

Artificial Intelligence Narratives


A Global Voices Report: “…Framing AI systems as intelligent is further complicated and intertwined with neighboring narratives. In the US, AI narratives often revolve around opposing themes such as hope and fear, often bridging two strong emotions: existential fears and economic aspirations. In either case, they propose that the technology is powerful. These narratives contribute to the hype surrounding AI tools and their potential impact on society. Some examples include:

Many of these framings often present AI as an unstoppable and accelerating force. While this narrative can generate excitement and investment in AI research, it can also contribute to a sense of technological determinism and a lack of critical engagement with the consequences of widespread AI adoption. Counter-narratives are many and expand on the motifs of surveillance, erosions of trust, bias, job impacts, exploitation of labor, high-risk uses, the concentration of power, and environmental impacts, among others.

These narrative frames, combined with the metaphorical language and imagery used to describe AI, contribute to the confusion and lack of public knowledge about the technology. By positioning AI as a transformative, inevitable, and necessary tool for national success, these narratives can shape public opinion and policy decisions, often in ways that prioritize rapid adoption and commercialization…(More)”

Why Canada needs to embrace innovations in democracy


Article by Megan Mattes and Joanna Massie: “Although one-off democratic innovations like citizens’ assemblies are excellent approaches for tackling a big issue, more embedded types of innovations could be a powerful tool for maintaining an ongoing connection between public interest and political decision-making.

Innovative approaches to maintaining an ongoing, meaningful connection between people and policymakers are underway. In New Westminster, B.C., a standing citizen body called the Community Advisory Assembly has been convened since January 2024 to January 2025.

These citizen advisers are selected through random sampling to ensure the assembly’s demographic makeup is aligned with the overall population.

Over the last year, members have both given input on policy ideas initiated by New Westminster city council and initiated conversations on their own policy priorities. Notes from these discussions are passed on to council and city staff to consider their incorporation into policymaking.

The question is whether the project will live beyond its pilot.

Another similar and hopeful democratic innovation, the City of Toronto’s Planning Review Panel, ran for two terms before it was cancelled. In contrast, both the Paris city council and the state government of Ostbelgien (East Belgium) have convened permanent citizen advisory bodies to work alongside elected officials.

While public opinion is only one ingredient in government decision-making, ensuring democratic innovations are a standard component of policymaking could go a long way to enshrining public dialogue as a valuable governance tool.

Whether through annual participatory budgeting exercises or a standing citizen advisory body, democratic innovations can make public priorities a key focus of policy and restore government accountability to citizens…(More)”.

Information Ecosystems and Troubled Democracy


Report by the Observatory on Information and Democracy: “This inaugural meta-analysis provides a critical assessment of the role of information ecosystems in the Global North and Global Majority World, focusing on their relationship with information integrity (the quality of public discourse), the fairness of political processes, the protection of media freedoms, and the resilience of public institutions.

The report addresses three thematic areas with a cross-cutting theme of mis- and disinformation:

  • Media, Politics and Trust;
  • Artificial Intelligence, Information Ecosystems and Democracy;
  • and Data Governance and Democracy.

The analysis is based mainly on academic publications supplemented by reports and other materials from different disciplines and regions (1,664 citations selected among a total corpus of over +2700 resources aggregated). The report showcases what we can learn from landmark research on often intractable challenges posed by rapid changes in information and communication spaces…(More)”.

Generative Artificial Intelligence and Open Data: Guidelines and Best Practices


US Department of Commerce: “…This guidance provides actionable guidelines and best practices for publishing open data optimized for generative AI systems. While it is designed for use by the Department of Commerce and its bureaus, this guidance has been made publicly available to benefit open data publishers globally…(More)”. See also: A Fourth Wave of Open Data? Exploring the Spectrum of Scenarios for Open Data and Generative AI

What’s a Fact, Anyway?


Essay by Fergus McIntosh: “…For journalists, as for anyone, there are certain shortcuts to trustworthiness, including reputation, expertise, and transparency—the sharing of sources, for example, or the prompt correction of errors. Some of these shortcuts are more perilous than others. Various outfits, positioning themselves as neutral guides to the marketplace of ideas, now tout evaluations of news organizations’ trustworthiness, but relying on these requires trusting in the quality and objectivity of the evaluation. Official data is often taken at face value, but numbers can conceal motives: think of the dispute over how to count casualties in recent conflicts. Governments, meanwhile, may use their powers over information to suppress unfavorable narratives: laws originally aimed at misinformation, many enacted during the COVID-19 pandemic, can hinder free expression. The spectre of this phenomenon is fuelling a growing backlash in America and elsewhere.

Although some categories of information may come to be considered inherently trustworthy, these, too, are in flux. For decades, the technical difficulty of editing photographs and videos allowed them to be treated, by most people, as essentially incontrovertible. With the advent of A.I.-based editing software, footage and imagery have swiftly become much harder to credit. Similar tools are already used to spoof voices based on only seconds of recorded audio. For anyone, this might manifest in scams (your grandmother calls, but it’s not Grandma on the other end), but for a journalist it also puts source calls into question. Technologies of deception tend to be accompanied by ones of detection or verification—a battery of companies, for example, already promise that they can spot A.I.-manipulated imagery—but they’re often locked in an arms race, and they never achieve total accuracy. Though chatbots and A.I.-enabled search engines promise to help us with research (when a colleague “interviewed” ChatGPT, it told him, “I aim to provide information that is as neutral and unbiased as possible”), their inability to provide sourcing, and their tendency to hallucinate, looks more like a shortcut to nowhere, at least for now. The resulting problems extend far beyond media: election campaigns, in which subtle impressions can lead to big differences in voting behavior, feel increasingly vulnerable to deepfakes and other manipulations by inscrutable algorithms. Like everyone else, journalists have only just begun to grapple with the implications.

In such circumstances, it becomes difficult to know what is true, and, consequently, to make decisions. Good journalism offers a way through, but only if readers are willing to follow: trust and naïveté can feel uncomfortably close. Gaining and holding that trust is hard. But failure—the end point of the story of generational decay, of gold exchanged for dross—is not inevitable. Fact checking of the sort practiced at The New Yorker is highly specific and resource-intensive, and it’s only one potential solution. But any solution must acknowledge the messiness of truth, the requirements of attention, the way we squint to see more clearly. It must tell you to say what you mean, and know that you mean it…(More)”.