"AI in the Street: Scoping Everyday Observatories for Public Engagement with Connected and Automated Urban Environments"

“街头人工智能：通过互联和自动化的城市环境确定公众参与的日常观测站”

• 批准号: AH/Z505651/1
• 负责人: Noortje Suzanne Marres
• 金额: $ 34.25万
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=AH%2FZ505651%2F1
• 关键词: AI; Street; Scoping; Everyday; Observatories

Over the last decade, the street has emerged as one of the primary sites where everyday publics encounter AI. Industry and public sector organisations have deployed a variety of AI-based technologies in UK streets, from autonomous vehicles (AVs) to navigation apps, data-driven modelling in smart city projects and facial recognition technologies (FRT). These deployments have been accompanied by significant policy initiatives defining societal benefits of AI-driven innovation (safety, levelling up, sustainability, inclusion) as well as institutional engagements with affected communities through policy exhibitions, user-centred workshops and citizen cafés. However, from the perspective of the street, AI innovation often manifests as a messy social reality, provoking frictions that exceed existing frameworks for responsible innovation: in Cambridge, firefighters battling a fire had to move a delivery robot that was in their way, while in Australia suburbs were left without electricity after a food delivery drone made an emergency landing on top of a set of powerlines. There remain, then, significant divergences between the general frameworks for responsible AI and the particular lived realities of AI in the street. To build capacity among everyday publics and AI innovation consortia to engage across such divides, this 6-month project will develop a situated, creative approach to public engagement with AI: street-level observatories of everyday AI.To bridge divides between lay and expert understandings of AI innovation, we will evaluate and prototype a set of street-level observatories for everyday AI. The aim of these observatories is to explore how everyday publics perceive and engage with AI at a primary site - city streets - where specific transformations, benefits, harms and (ir)responsibilities of AI in society can be made visible and thus legible for both publics and stakeholders. To realise this, we will collaborate with local partners and the arts to trial creative interventions that invite people on the street to observe the effects of AI in the lived environment. Our scoping project will 1) build partnerships across the humanities, arts and social sciences and with organisations and groups committed to situated forms of public engagement with AI-based science and innovation in connected and automated cities. In partnership with local government, we will 2) trial street-level AI observatories in 4 diverse UK cities—Cambridge, Coventry, London and Edinburgh—and one international location, Logan (Australia). The observatories will combine digital, place-based and/or embodied approaches, such as data walks and sensor media (apps) and will be designed to support shared learning across the project teams and partners.Trialling AI observatories in city streets will enable us to undertake 3) a joint process of evaluating and prototyping an everyday AI observatory. This will make visible the entanglement of everyday social life with AI, showing people and technologies in complex real-world settings where sectoral, disciplinary and specialist interests intersect. This will be a space of interest to partners in local and national government, public policy innovation, and AI scientists and industry representatives, and create opportunities for developing shared understandings of societal responses and priorities between industry, policymakers, researchers and everyday publics.

在过去的十年中，街道已成为日常公众接触人工智能的主要场所之一，行业和公共部门组织在英国街道上部署了各种基于人工智能的技术，从自动驾驶汽车 (AV) 到导航应用程序、数据。智能城市项目和面部识别技术（FRT）中的驱动建模伴随着重大政策举措，定义了人工智能驱动的创新的社会效益（安全、升级、可持续性、包容性）以及与受影响社区的机构参与。通过政策展示，然而，从街头的角度来看，人工智能创新往往表现为混乱的社会现实，引发超出现有负责任创新框架的摩擦：在剑桥，救火的消防员不得不移动送货机器人。这就是他们的方式，而在澳大利亚郊区，一架送餐无人机紧急降落在一组电线上后，导致郊区断电。因此，负责任的人工智能的总体框架与特定的生活现实之间仍然存在重大分歧。街道上的人工智能。为了培养日常公众和人工智能创新联盟跨越这些鸿沟的能力，这个为期 6 个月的项目将开发一种情境化、创造性的方法来让公众参与人工智能：日常人工智能的街头观察站。 弥合外行和专家理解之间的鸿沟在人工智能创新的过程中，我们将评估和原型化一组用于日常人工智能的街道级观察站，这些观察站的目的是探索日常公众如何在主要地点（城市街道）感知和参与人工智能，其中具体的转变、好处、为了实现这一点，我们将与当地合作伙伴和艺术界合作，尝试创造性的干预措施，邀请街上的人们观察其影响。我们的范围界定项目将 1) 与致力于在互联和自动化城市中以人工智能为基础的科学和创新的公众参与形式的组织和团体建立跨人文、艺术和社会科学的合作伙伴关系。我们将与当地政府合作2) 在 4 个不同的英国城市（剑桥、考文垂、伦敦和爱丁堡）以及一个国际地点洛根（澳大利亚）试验街道级人工智能观测站。这些观测站将结合数字、基于地点和/或具体化的方法，例如数据。步行和传感器媒体（应用程序），旨在支持项目团队和合作伙伴之间的共享学习。在城市街道上试验人工智能观测站将使我们能够进行3）评估和原型设计日常人工智能的联合过程这将使日常生活与人工智能的纠缠变得可见，展示部门、学科和专业利益交叉的复杂现实环境中的人员和技术，这将是地方和国家政府、公众合作伙伴感兴趣的空间。政策创新、人工智能科学家和行业代表，并为行业、政策制定者、研究人员和普通公众之间形成对社会反应和优先事项的共同理解创造机会。