Paper by Andy E. Williams: “Increasing the number, diversity, or uniformity of opinions in a group does not necessarily imply that those opinions will converge into a single more “intelligent” one, if an objective definition of the term intelligent exists as it applies to opinions. However, a recently developed approach called human-centric functional modeling provides what might be the first general model for individual or collective intelligence. In the case of the collective intelligence of groups, this model suggests how a cacophony of incoherent opinions in a large group might be combined into coherent collective reasoning by a hypothetical platform called “general collective intelligence” (GCI). When applied to solving group problems, a GCI might be considered a system that leverages collective reasoning to increase the beneficial insights that might be derived from the information available to any group. This GCI model also suggests how the collective reasoning ability (intelligence) might be exponentially increased compared to the intelligence of any individual in a group, potentially resulting in what is predicted to be a collective superintelligence….(More)”
Opportunities and Risks of LLMs for Scalable Deliberation with Polis
Paper by Christopher Small et al: “Polis is a platform that leverages machine intelligence to scale up deliberative processes. In this paper, we explore the opportunities and risks associated with applying Large Language Models (LLMs) towards challenges with facilitating, moderating and summarizing the results of Polis engagements. In particular, we demonstrate with pilot experiments using Anthropic’s Claude that LLMs can indeed augment human intelligence to help more efficiently run Polis conversations. In particular, we find that summarization capabilities enable categorically new methods with immense promise to empower the public in collective meaning-making exercises. And notably, LLM context limitations have a significant impact on insight and quality of these results.
However, these opportunities come with risks. We discuss some of these risks, as well as principles and techniques for characterizing and mitigating them, and the implications for other deliberative or political systems that may employ LLMs. Finally, we conclude with several open future research directions for augmenting tools like Polis with LLMs….(More)”.
Why picking citizens at random could be the best way to govern the A.I. revolution
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)”.
Engaging citizens in innovation policy. Why, when and how?
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)”.
Collective Intelligence to Co-Create the Cities of the Future: Proposal of an Evaluation Tool for Citizen Initiatives
Paper by Fanny E. Berigüete, Inma Rodriguez Cantalapiedra, Mariana Palumbo and Torsten Masseck: “Citizen initiatives (CIs), through their activities, have become a mechanism to promote empowerment, social inclusion, change of habits, and the transformation of neighbourhoods, influencing their sustainability, but how can this impact be measured? Currently, there are no tools that directly assess this impact, so our research seeks to describe and evaluate the contributions of CIs in a holistic and comprehensive way, respecting the versatility of their activities. This research proposes an evaluation system of 33 indicators distributed in 3 blocks: social cohesion, urban metabolism, and transformation potential, which can be applied through a questionnaire. This research applied different methods such as desk study, literature review, and case study analysis. The evaluation of case studies showed that the developed evaluation system well reflects the individual contribution of CIs to sensitive and important aspects of neighbourhoods, with a lesser or greater impact according to the activities they carry out and the holistic conception they have of sustainability. Further implementation and validation of the system in different contexts is needed, but it is a novel and interesting proposal that will favour decision making for the promotion of one or another type of initiative according to its benefits and the reality and needs of the neighbourhood…(More)”.
Brazil launches participatory national planning process
Article by Tarson Núñez and Luiza Jardim: “At a time when signs of a crisis in democracy are prevalent around the world, the Brazilian government is seeking to expand and deepen the active participation of citizens in its decisions. The new administration of Luiz Inácio Lula da Silva believes that more democracy is needed to rebuild citizens’ trust in political processes. And it just launched one of its main initiatives, the Participatory Pluriannual Plan (PPA Participativo). The PPA sets the goals and objectives for Brazil over the following four years, and Lula is determined to not only allow but facilitate public participation in its development.
On May 11, the federal government held the first state plenary for the Participatory PPA, an assembly open to all citizens, social movements and civil society organizations. Participants at the state plenaries are able to discuss proposals and deliberate on the government’s public policies. Over the next two months, government officials will travel to the capitals of the country’s 26 states as well as the federal district (the capital of Brazil) to listen to people present their priorities. If they prefer, people can also submit their suggestions through a digital platform (Decidim, accessible only to people in Brazil) or the Interconselhos Forum, which brings together various councils and civil society groups…(More)”.
Politicians love to appeal to common sense – but does it trump expertise?
Essay by Magda Osman: “Politicians love to talk about the benefits of “common sense” – often by pitting it against the words of “experts and elites”. But what is common sense? Why do politicians love it so much? And is there any evidence that it ever trumps expertise? Psychology provides a clue.
We often view common sense as an authority of collective knowledge that is universal and constant, unlike expertise. By appealing to the common sense of your listeners, you therefore end up on their side, and squarely against the side of the “experts”. But this argument, like an old sock, is full of holes.
Experts have gained knowledge and experience in a given speciality. In which case politicians are experts as well. This means a false dichotomy is created between the “them” (let’s say scientific experts) and “us” (non-expert mouthpieces of the people).
Common sense is broadly defined in research as a shared set of beliefs and approaches to thinking about the world. For example, common sense is often used to justify that what we believe is right or wrong, without coming up with evidence.
But common sense isn’t independent of scientific and technological discoveries. Common sense versus scientific beliefs is therefore also a false dichotomy. Our “common” beliefs are informed by, and inform, scientific and technology discoveries…
The idea that common sense is universal and self-evident because it reflects the collective wisdom of experience – and so can be contrasted with scientific discoveries that are constantly changing and updated – is also false. And the same goes for the argument that non-experts tend to view the world the same way through shared beliefs, while scientists never seem to agree on anything.
Just as scientific discoveries change, common sense beliefs change over time and across cultures. They can also be contradictory: we are told “quit while you are ahead” but also “winners never quit”, and “better safe than sorry” but “nothing ventured nothing gained”…(More)”
The Generic Collective Intelligence Framework: A Qualitative View
Paper by Shweta Suray, Vishwajeet Pattanaik and Dirk Draheim: “Web-based crowd-oriented systems can be seen everywhere today. Some popular examples of such platforms include Reddit, MyGov, Wikipedia and GalaxyZoo. The main aim of such platforms is to harness individuals’ collective intelligence (CI) to offer several benefits to society — from solving complex problems to developing innovative solutions. Also, CI platforms are developing at an impressive pace, and each platform has unique features to gather, motivate and engage the crowd to achieve the platform’s goal. However, the design and development of CI systems is an expensive and time-consuming task. Thus, it is difficult for civic and government organizations to develop such platforms. Moreover, many CI platforms do not sustain for a longer period due to a lack of scientific knowledge about the several components that are required to build CI platforms. To fulfil this research gap, we developed a conceptual generic framework for CI systems that can be used to understand and examine CI systems regardless of their domains. Additionally, our CI generic framework allows stakeholders to combine several components in order to perform requirement elicitation for new platforms, thus enabling them to develop their own platforms in an efficient and effective manner. In order to evaluate the completeness and genericness and to find out the limitations of the CI generic model, we have conducted qualitative interviews with a series of CI experts. This article aims to present the findings of these expert interviews and suggest future directions for CI research to improve the generic CI model and to explore the CI from different perspectives…(More)”
Making Sense of Citizens’ Input through Artificial Intelligence: A Review of Methods for Computational Text Analysis to Support the Evaluation of Contributions in Public Participation
Paper by Julia Romberg and Tobias Escher: “Public sector institutions that consult citizens to inform decision-making face the challenge of evaluating the contributions made by citizens. This evaluation has important democratic implications but at the same time, consumes substantial human resources. However, until now the use of artificial intelligence such as computer-supported text analysis has remained an under-studied solution to this problem. We identify three generic tasks in the evaluation process that could benefit from natural language processing (NLP). Based on a systematic literature search in two databases on computational linguistics and digital government, we provide a detailed review of existing methods and their performance. While some promising approaches exist, for instance to group data thematically and to detect arguments and opinions, we show that there remain important challenges before these could offer any reliable support in practice. These include the quality of results, the applicability to non-English language corpuses and making algorithmic models available to practitioners through software. We discuss a number of avenues that future research should pursue that can ultimately lead to solutions for practice. The most promising of these bring in the expertise of human evaluators, for example through active learning approaches or interactive topic modelling…(More)” See also: Where and when AI and CI meet: exploring the intersection of artificial and collective intelligence towards the goal of innovating how we govern.
The Platformization of Public Participation: Considerations for Urban Planners Navigating New Engagement Tools
Paper by Pamela Robinson & Peter Johnson: “Professional urban planners have an ethical obligation to work in the public interest. Public input and critique gathered at public meetings and other channels are used to inform planning recommendations to elected officials. Pre-pandemic, the planning profession worked with digital tools, but in-person meetings were the dominant form of public participation. The pandemic imposed a shift to digital channels and tools, with the result that planners’ use of technology risks unitizing public participation. As the use of new platforms for public participation expands, we argue it has the potential to fundamentally change participation, a process we call platformization. We frame this as a subset of the broader emergence of platform urbanism. This chapter evaluates six public participation platforms, identifying how the tools they provide map onto key participation frameworks from Arnstein (1969), Fung (2006), and IAP2 (2018). Through this analysis, we examine how the platformization of public participation poses ethical and scholarly challenges to the work of professional planners…(More)”.