Making democratic innovations stick


Report by NESTA: “A survey of 52 people working on participation in local government in the UK and the Nordic countries found that:

  • a lack of funding and bureaucracy are the biggest barriers to using and scaling democratic innovations
  • enabling citizens to influence decision making, building trust and being more inclusive are the most important reasons for using democratic innovations
  • tackling climate change and reducing poverty and inequality are seen as the most important challenges to involve the public in.

When we focused on attitudes towards participation in the UK more broadly, and on attitudes to participation in climate change more specifically we found that:

  • the public think it is important that they are being involved in how we make decisions on climate change. 71% of the public think it is important they are given a say in how to reduce the UK’s carbon emissions and transition to net zero
  • the public doesn’t think the government is doing a good job of involving them – only 12% thought that the government is doing a good job of involving them in making decisions on how we tackle climate change
  • not having the ability to influence decision makers and not having the right skills to participate are seen as the biggest barriers by the public….(More)”.

Was vTaiwan such a big flop, after all?


Blog by Beth Noveck: “A recent issue of the Daily Beast featured an article about vTaiwan, Taiwan’s flagship crowdlaw project to engage the public in the legislative process, reporting what I long suspected and feared: early success has not translated into lasting impact or institutionalization of public participation in policymaking.

“The platform hasn’t been used for any major decisions since 2018” said vTaiwan co-creator and former Taiwanese legislator Jason Hsu. He went on to add that: “since the government is not mandated to adopt recommendations coming from vTaiwan, ‘legislators don’t take it seriously.’”

After vTaiwan enabled over two hundred thousand people to participate in crafting 26 pieces of national legislation, advocates for tech and democracy hailed this four-stage online and offline deliberative process as the poster child of tech-enabled public engagement. We celebrated vTaiwan as evidence of the powerful potential for meaningful public participation in governance.

vTaiwan began with a proposal stage, with offline and online discussion of problems using a series of different tools for deliberation and frequent polling.This collaborative problem-definition process, which lasted from a few weeks to a year, helped a large number of people to agree on and define which problems should be tackled.

While disappointing, vTaiwan is not unique in failing to deliver on the promise of tech-enabled participation. As my GovLab colleagues and I reported last year, Madrid’s online engagement platform Decide Madrid attracted almost half a million sign-ups. But of the 28,000 legislative proposals submitted by residents since 2015, only one became policy. Sign-ups have declined dramatically.

Online public engagements fizzle for a variety of reasons…(More)”.

Creating a Citizen Participation Service and other ideas


Paper by Kathy Peach: “…This paper explains how public participation can improve national policy, long-term decision making and increase democratic legitimacy and trust.

Taking a practical approach it examines how the wide range of tools available for harnessing citizen’s collective intelligence and explores how, and in what circumstances, they can best be used.

Examining how public participation can be embedded in climate policy at a national level, it suggests three models for restructuring central government – a Public Participation Secretariat, new public bodies and at most ambitious, a Citizen Participation Service.

Finally, it outlines the contours of a flagship participation programme for climate policy covering digital infrastructure, citizen science, participatory budgeting and other proposals…(More)”.

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


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)”.

Democratic Policy Development using Collective Dialogues and AI


Paper by Andrew Konya, Lisa Schirch, Colin Irwin, Aviv Ovadya: “We design and test an efficient democratic process for developing policies that reflect informed public will. The process combines AI-enabled collective dialogues that make deliberation democratically viable at scale with bridging-based ranking for automated consensus discovery. A GPT4-powered pipeline translates points of consensus into representative policy clauses from which an initial policy is assembled. The initial policy is iteratively refined with the input of experts and the public before a final vote and evaluation. We test the process three times with the US public, developing policy guidelines for AI assistants related to medical advice, vaccine information, and wars & conflicts. We show the process can be run in two weeks with 1500+ participants for around $10,000, and that it generates policy guidelines with strong public support across demographic divides. We measure 75-81% support for the policy guidelines overall, and no less than 70-75% support across demographic splits spanning age, gender, religion, race, education, and political party. Overall, this work demonstrates an end-to-end proof of concept for a process we believe can help AI labs develop common-ground policies, governing bodies break political gridlock, and diplomats accelerate peace deals…(More)”.

Unintended Consequences of Data-driven public participation: How Low-Traffic Neighborhood planning became polarized


Paper by Alison Powell: “This paper examines how data-driven consultation contributes to dynamics of political polarization, using the case of ‘Low-Traffic Neighborhoods’ in London, UK. It explores how data-driven consultation can facilitate participation, including ‘agonistic data practices” (Crooks and Currie, 2022) that challenge the dominant interpretations of digital data. The paper adds empirical detail to previous studies of agonistic data practices, concluding that agonistic data practices require certain normative conditions to be met, otherwise dissenting data practices can contribute to dynamics of polarization. The results of this paper draw on empirical insights from the political context of the UK to explain how ostensibly democratic processes including data-driven consultation establish some kinds of knowledge as more legitimate than others. Apparently ‘objective’ knowledge, or calculable data, is attributed greater legitimacy than strong feelings or affective narratives. This can displace affective responses to policy decisions into insular social media spaces where polarizing dynamics are at play. Affective polarization, where political difference is solidified through appeals to feeling, creates political distance and the dehumanization of ‘others’. This can help to amplify conspiracy theories that pose risks to democracy and to the overall legitimacy of media environments. These tendencies are exacerbated when processes of consultation prescribe narrow or specific contributions, valorize quantifiable or objective data and create limited room for dissent…(More)”

Why Deliberation and Voting Belong Together


Paper by Simone Chambers & Mark E. Warren: “The field of deliberative democracy now generally recognizes the co-dependence of deliberation and voting. The field tends to emphasize what deliberation accomplishes for vote-based decisions. In this paper, we reverse this now common view to ask: In what ways does voting benefit deliberation? We discuss seven ways voting can complement and sometimes enhance deliberation. First, voting furnishes deliberation with a feasible and fair closure mechanism. Second, the power to vote implies equal recognition and status, both morally and strategically, which is a condition of democratic deliberation. Third, voting politicizes deliberation by injecting the strategic features of politics into deliberation—effectively internalizing conflict into deliberative processes, without which they can become detached from their political environments. Fourth, anticipation of voting may induce authenticity by revealing preferences, as what one says will count. Fifth, voting preserves expressions of dissent, helping to push back against socially induced pressures for consensus. Sixth, voting defines the issues, such that deliberation is focused, and thus more likely to be effective. And, seventh, within contexts where votes are public—as in representative contexts, voting can induce accountability, particularly for one’s claims. We then use these points to discuss four general types of institutions—general elections, legislatures, minipublics, and minipublics embedded in referendum processes—that combine talking and voting, with the aim of identifying designs that do a better or worse job of capitalizing upon the strengths of each…(More)”.

Citizens’ Assemblies Are Upgrading Democracy: Fair Algorithms Are Part of the Program


Article by Ariel Procaccia: “…Taken together, these assemblies have demonstrated an impressive capacity to uncover the will of the people and build consensus.

The effectiveness of citizens’ assemblies isn’t surprising. Have you ever noticed how politicians grow a spine the moment they decide not to run for reelection? Well, a citizens’ assembly is a bit like a legislature whose members make a pact barring them from seeking another term in office. The randomly selected members are not beholden to party machinations or outside interests; they are free to speak their mind and vote their conscience.

What’s more, unlike elected bodies, these assemblies are chosen to mirror the population, a property that political theorists refer to as descriptive representation. For example, a typical citizens’ assembly has a roughly equal number of men and women (some also ensure nonbinary participation), whereas the average proportion of seats held by women in national parliaments worldwide was 26 percent in 2021—a marked increase from 12 percent in 1997 but still far from gender balance. Descriptive representation, in turn, lends legitimacy to the assembly: citizens seem to find decisions more acceptable when they are made by people like themselves.

As attractive as descriptive representation is, there are practical obstacles to realizing it while adhering to the principle of random selection. Overcoming these hurdles has been a passion of mine for the past few years. Using tools from mathematics and computer science, my collaborators and I developed an algorithm for the selection of citizens’ assemblies that many practitioners around the world are using. Its story provides a glimpse into the future of democracy—and it begins a long time ago…(More)”.

What if We Could All Control A.I.?


Kevin Roose at The New York Times: “One of the fiercest debates in Silicon Valley right now is about who should control A.I., and who should make the rules that powerful artificial intelligence systems must follow.

Should A.I. be governed by a handful of companies that try their best to make their systems as safe and harmless as possible? Should regulators and politicians step in and build their own guardrails? Or should A.I. models be made open-source and given away freely, so users and developers can choose their own rules?

A new experiment by Anthropic, the maker of the chatbot Claude, offers a quirky middle path: What if an A.I. company let a group of ordinary citizens write some rules, and trained a chatbot to follow them?

The experiment, known as “Collective Constitutional A.I.,” builds on Anthropic’s earlier work on Constitutional A.I., a way of training large language models that relies on a written set of principles. It is meant to give a chatbot clear instructions for how to handle sensitive requests, what topics are off-limits and how to act in line with human values.

If Collective Constitutional A.I. works — and Anthropic’s researchers believe there are signs that it might — it could inspire other experiments in A.I. governance, and give A.I. companies more ideas for how to invite outsiders to take part in their rule-making processes.

That would be a good thing. Right now, the rules for powerful A.I. systems are set by a tiny group of industry insiders, who decide how their models should behave based on some combination of their personal ethics, commercial incentives and external pressure. There are no checks on that power, and there is no way for ordinary users to weigh in.

Opening up A.I. governance could increase society’s comfort with these tools, and give regulators more confidence that they’re being skillfully steered. It could also prevent some of the problems of the social media boom of the 2010s, when a handful of Silicon Valley titans ended up controlling vast swaths of online speech.

In a nutshell, Constitutional A.I. works by using a written set of rules (a “constitution”) to police the behavior of an A.I. model. The first version of Claude’s constitution borrowed rules from other authoritative documents, including the United Nations’ Universal Declaration of Human Rights and Apple’s terms of service…(More)”.

The contested role of AI ethics boards in smart societies: a step towards improvement based on board composition by sortition


Paper by Ludovico Giacomo Conti & Peter Seele: “The recent proliferation of AI scandals led private and public organisations to implement new ethics guidelines, introduce AI ethics boards, and list ethical principles. Nevertheless, some of these efforts remained a façade not backed by any substantive action. Such behaviour made the public question the legitimacy of the AI industry and prompted scholars to accuse the sector of ethicswashing, machinewashing, and ethics trivialisation—criticisms that spilt over to institutional AI ethics boards. To counter this widespread issue, contributions in the literature have proposed fixes that do not consider its systemic character and are based on a top-down, expert-centric governance. To fill this gap, we propose to make use of qualified informed lotteries: a two-step model that transposes the documented benefits of the ancient practice of sortition into the selection of AI ethics boards’ members and combines them with the advantages of a stakeholder-driven, participative, and deliberative bottom-up process typical of Citizens’ Assemblies. The model permits increasing the public’s legitimacy and participation in the decision-making process and its deliverables, curbing the industry’s over-influence and lobbying, and diminishing the instrumentalisation of ethics boards. We suggest that this sortition-based approach may provide a sound base for both public and private organisations in smart societies for constructing a decentralised, bottom-up, participative digital democracy…(More)”.