Why Citizen-Driven Policy Making Is No Longer A Fringe Idea

Curated on Posted on by Stefaan Verhulst

Article by Tatjana Buklijas: “Deliberative democracy is a term that would have been met with blank stares in academic and political circles just a few decades ago.

Yet this approach, which examines ways to directly connect citizens with decision-making processes, has now become central to many calls for government reform across the world. 

This surge in interest was firstly driven by the 2008 financial crisis. After the banking crash, there was a crisis of trust in democratic institutions. In Europe and the United States, populist political movements helped drive public feeling to become increasingly anti-establishment. 

The second was the perceived inability of representative democracy to effectively respond to long-term, intergenerational challenges, such as climate change and environmental decline. 

Within the past few years, hundreds of citizens’ assemblies, juries and other forms of ‘minipublics’ have met to learn, deliberate and produce recommendations on topics from housing shortages and covid-19 policies, to climate action.

One of the most recent assemblies in the United Kingdom was the People’s Plan for Nature that produced a vision for the future of nature, and the actions society must take to protect and renew it. 

When it comes to climate action, experts argue that we need to move beyond showpiece national and international goal-setting, and bring decision-making closer to home. 

Scholars say that that local and regional minipublics should be used much more frequently to produce climate policies, as this is where citizens experience the impact of the changing climate and act to make everyday changes.

While some policymakers are critical of deliberative democracy and see these processes as redundant to the existing deliberative bodies, such a national parliaments, others are more supportive. They view them as a way to get a better understanding of both what the public both thinks, and also how they might choose to implement change, after being given the chance to learn and deliberate on key questions.

Research has shown that the cognitive diversity of minipublics ensure a better quality of decision-making, in comparison to the more experienced, but also more homogenous traditional decision-making bodies…(More)”.

Engaging Scientists to Prevent Harmful Exploitation of Advanced Data Analytics and Biological Data

Curated on Posted on by Stefaan Verhulst

Proceedings from the National Academies of Sciences: “Artificial intelligence (AI), facial recognition, and other advanced computational and statistical techniques are accelerating advancements in the life sciences and many other fields. However, these technologies and the scientific developments they enable also hold the potential for unintended harm and malicious exploitation. To examine these issues and to discuss practices for anticipating and preventing the misuse of advanced data analytics and biological data in a global context, the National Academies of Sciences, Engineering, and Medicine convened two virtual workshops on November 15, 2022, and February 9, 2023. The workshops engaged scientists from the United States, South Asia, and Southeast Asia through a series of presentations and scenario-based exercises to explore emerging applications and areas of research, their potential benefits, and the ethical issues and security risks that arise when AI applications are used in conjunction with biological data. This publication highlights the presentations and discussions of the workshops…(More)”.

Building the Democracy We Need for the Twenty-First Century

Curated on Posted on by Stefaan Verhulst

Toolkit by Hollie Russon Gilman, Grace Levin, and Jessica Tang: “This toolkit situates collaborative governance, also known as “co-governance,” within a framework for building community that sees civic education, relationship building, and leadership development as essential first steps toward an effective and sustained participatory process. It offers key takeaways and best practices from effective, ongoing collaborative governance projects between communities and decision makers. The best of these projects shift decision-making power to the hands of communities to make room for more deliberation, consensus, and lasting change. Building on the lessons of successful case studies from across the United States, including Georgia, Kentucky, New York, and Washington, this toolkit aims to support local leaders inside and outside government as they navigate and execute co-governance models in their communities…(More)”.

Culture and Democracy, the evidence

Curated on Posted on by Stefaan Verhulst

Report by the European Commission: “This report analyses the concrete link between democracy and culture. It maps out how citizens who participate in cultural activities are much more likely to engage in civic and democratic life. Inequalities persist throughout the EU when it comes to citizens’ participation in cultural activities, with a clear knock-on impact on democratic participation. And this is just another reason why it is crucial that cultural activities are inclusive and affordable. Even more so as we see that investing in cultural participation can also support a range of other societal objectives – for example, in fields such as health, education and social inclusion. This report, and addressing the issues identified within it, is part of the work the European Commission is doing to strengthen democracy, to promote an inclusive and engaged society and to support the sustainability of the cultural sector. In the Work Plan for Culture 2023-2026, we put a specific focus on the link between culture and democracy, and we want to bring policy makers and stakeholders together to jointly work towards the concept of cultural citizenship in the EU. This report is part of the process…(More)”.

Artificial Intelligence in Science: Challenges, Opportunities and the Future of Research

Curated on Posted on by Stefaan Verhulst

OECD Report: “The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI. Utilising AI to accelerate scientific productivity will support the ability of OECD countries to grow, innovate and meet global challenges, from climate change to new contagions. This publication is aimed at a broad readership, including policy makers, the public, and stakeholders in all areas of science. It is written in non-technical language and gathers the perspectives of prominent researchers and practitioners. The book examines various topics, including the current, emerging, and potential future uses of AI in science, where progress is needed to better serve scientific advancements, and changes in scientific productivity. Additionally, it explores measures to expedite the integration of AI into research in developing countries. A distinctive contribution is the book’s examination of policies for AI in science. Policy makers and actors across research systems can do much to deepen AI’s use in science, magnifying its positive effects, while adapting to the fast-changing implications of AI for research governance…(More)”.

Barred From Grocery Stores by Facial Recognition

Curated on Posted on by Stefaan Verhulst

Article by Adam Satariano and Kashmir Hill: “Simon Mackenzie, a security officer at the discount retailer QD Stores outside London, was short of breath. He had just chased after three shoplifters who had taken off with several packages of laundry soap. Before the police arrived, he sat at a back-room desk to do something important: Capture the culprits’ faces.

On an aging desktop computer, he pulled up security camera footage, pausing to zoom in and save a photo of each thief. He then logged in to a facial recognition program, Facewatch, which his store uses to identify shoplifters. The next time those people enter any shop within a few miles that uses Facewatch, store staff will receive an alert.

“It’s like having somebody with you saying, ‘That person you bagged last week just came back in,’” Mr. Mackenzie said.

Use of facial recognition technology by the police has been heavily scrutinized in recent years, but its application by private businesses has received less attention. Now, as the technology improves and its cost falls, the systems are reaching further into people’s lives. No longer just the purview of government agencies, facial recognition is increasingly being deployed to identify shoplifters, problematic customers and legal adversaries.

Facewatch, a British company, is used by retailers across the country frustrated by petty crime. For as little as 250 pounds a month, or roughly $320, Facewatch offers access to a customized watchlist that stores near one another share. When Facewatch spots a flagged face, an alert is sent to a smartphone at the shop, where employees decide whether to keep a close eye on the person or ask the person to leave…(More)”.

Gamifying medical data labeling to advance AI

Curated on Posted on by Stefaan Verhulst

Article by Zach Winn: “…Duhaime began exploring ways to leverage collective intelligence to improve medical diagnoses. In one experiment, he trained groups of lay people and medical school students that he describes as “semiexperts” to classify skin conditions, finding that by combining the opinions of the highest performers he could outperform professional dermatologists. He also found that by combining algorithms trained to detect skin cancer with the opinions of experts, he could outperform either method on its own….The DiagnosUs app, which Duhaime developed with Centaur co-founders Zach Rausnitz and Tom Gellatly, is designed to help users test and improve their skills. Duhaime says about half of users are medical school students and the other half are mostly doctors, nurses, and other medical professionals…

The approach stands in sharp contrast to traditional data labeling and AI content moderation, which are typically outsourced to low-resource countries.

Centaur’s approach produces accurate results, too. In a paper with researchers from Brigham and Women’s Hospital, Massachusetts General Hospital (MGH), and Eindhoven University of Technology, Centaur showed its crowdsourced opinions labeled lung ultrasounds as reliably as experts did…

Centaur has found that the best performers come from surprising places. In 2021, to collect expert opinions on EEG patterns, researchers held a contest through the DiagnosUs app at a conference featuring about 50 epileptologists, each with more than 10 years of experience. The organizers made a custom shirt to give to the contest’s winner, who they assumed would be in attendance at the conference.

But when the results came in, a pair of medical students in Ghana, Jeffery Danquah and Andrews Gyabaah, had beaten everyone in attendance. The highest-ranked conference attendee had come in ninth…(More)”

Why picking citizens at random could be the best way to govern the A.I. revolution

Curated on Posted on by Stefaan Verhulst

Article by Hélène Landemore, Andrew Sorota, and Audrey Tang: “Testifying before Congress last month about the risks of artificial intelligence, Sam Altman, the OpenAI CEO behind the massively popular large language model (LLM) ChatGPT, and Gary Marcus, a psychology professor at NYU famous for his positions against A.I. utopianism, both agreed on one point: They called for the creation of a government agency comparable to the FDA to regulate A.I. Marcus also suggested scientific experts should be given early access to new A.I. prototypes to be able to test them before they are released to the public.

Strikingly, however, neither of them mentioned the public, namely the billions of ordinary citizens around the world that the A.I. revolution, in all its uncertainty, is sure to affect. Don’t they also deserve to be included in decisions about the future of this technology?

We believe a global, democratic approach–not an exclusively technocratic one–is the only adequate answer to what is a global political and ethical challenge. Sam Altman himself stated in an earlier interview that in his “dream scenario,” a global deliberation involving all humans would be used to figure out how to govern A.I.

There are already proofs of concept for the various elements that a global, large-scale deliberative process would require in practice. By drawing on these diverse and complementary examples, we can turn this dream into a reality.

Deliberations based on random selection have grown in popularity on the local and national levels, with close to 600 cases documented by the OECD in the last 20 years. Their appeal lies in capturing a unique array of voices and lived experiences, thereby generating policy recommendations that better track the preferences of the larger population and are more likely to be accepted. Famous examples include the 2012 and 2016 Irish citizens’ assemblies on marriage equality and abortion, which led to successful referendums and constitutional change, as well as the 2019 and 2022 French citizens’ conventions on climate justice and end-of-life issues.

Taiwan has successfully experimented with mass consultations through digital platforms like Pol.is, which employs machine learning to identify consensus among vast numbers of participants. Digitally engaged participation has helped aggregate public opinion on hundreds of polarizing issues in Taiwan–such as regulating Uber–involving half of its 23.5 million people. Digital participation can also augment other smaller-scale forms of citizen deliberations, such as those taking place in person or based on random selection…(More)”.

Artificial Intelligence for Emergency Response

Curated on Posted on by Stefaan Verhulst

Paper by Ayan Mukhopadhyay: “Emergency response management (ERM) is a challenge faced by communities across the globe. First responders must respond to various incidents, such as fires, traffic accidents, and medical emergencies. They must respond quickly to incidents to minimize the risk to human life. Consequently, considerable attention has been devoted to studying emergency incidents and response in the last several decades. In particular, data-driven models help reduce human and financial loss and improve design codes, traffic regulations, and safety measures. This tutorial paper explores four sub-problems within emergency response: incident prediction, incident detection, resource allocation, and resource dispatch. We aim to present mathematical formulations for these problems and broad frameworks for each problem. We also share open-source (synthetic) data from a large metropolitan area in the USA for future work on data-driven emergency response…(More)”.

Engaging citizens in innovation policy. Why, when and how?

Curated on Posted on by Stefaan Verhulst

OECD Report: “Innovation policies need to be socially embedded for them to effectively contribute to addressing major societal challenges. Engaging citizens in innovation policymaking can help define long-term policy priorities, enhance the quality and legitimacy of policy decisions, and increase the visibility of innovation in society. However, engaging all groups in society and effectively integrating citizens’ inputs in policy processes is challenging. This paper discusses why, when and how to engage citizens in innovation policy making. It also addresses practical considerations for organising these processes, such as reaching out to diverse publics and selecting the optimal mix of methods and tools…(More)”.