(CODES) Collaborative Democracy: Using Artificial Intelligence to translate citizens' thoughts into collective decisions

(CODES) 协作民主：利用人工智能将公民的想法转化为集体决策

• 批准号: EP/X033104/1
• 负责人: Michael Bruter
• 金额: $ 16.47万
• 依托单位: London School of Economics and Political Science
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX033104%2F1
• 关键词: CODES; Collaborative; Democracy; Using; Artificial

CODES resolves a critical problem: our ERC research shows that citizens are disillusioned with democracy because they feel that they lack control and worry that elites will use their opinions as a blank cheque. CODES's ambition is to offer nothing short of a collaborative democratic and consultative revolution for public and private organisations. We will shift democratic decision-making in the same way Google has revolutionised searching. Our unique tool provides qualitative and collaborative democracy using human-led Artificial Intelligence to translate citizens' unconstrained open text preferences into collective decisions. These preferences are abstracted into collective decisions in elections and consultation, creating an unprecedented collaborative democracy framework. We have conducted extensive market viability testing encompassing 102 individual interviews with four segments of decision-makers, four focus groups, and representative surveys in the US and the UK. Two national Parliaments, one Government, and a Council of Europe branch have asked us to send formal proposals to illustrate how the prototype this PoC grant will fund could be implemented. CODES modules are dialectic and designed to be integrated. Each step is collaborative and integrative. The objective is to produce a demonstrable working prototype that we can showcase to our potential users.

CODES 解决了一个关键问题：我们的 ERC 研究表明，公民对民主感到失望，因为他们觉得自己缺乏控制力，并担心精英会利用他们的意见作为空白支票。 CODES 的目标是为公共和私人组织提供一场合作民主和协商的革命。我们将像谷歌彻底改变搜索一样改变民主决策。我们独特的工具使用人类主导的人工智能来提供定性和协作式民主，将公民不受约束的开放文本偏好转化为集体决策。这些偏好被抽象为选举和协商中的集体决策，创造了前所未有的协作民主框架。我们进行了广泛的市场可行性测试，包括对美国和英国的四个决策者群体、四个焦点小组进行了 102 次个人访谈以及代表性调查。两个国家议会、一个政府和欧洲委员会的一个分支机构要求我们发送正式提案，以说明如何实施这项 PoC 赠款资助的原型。 CODES 模块是辩证的，旨在集成。每一步都是协作和整合的。目标是制作一个可演示的工作原型，我们可以向潜在用户展示。