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

在过去的十年里，这条街道已经成为日常公众接触人工智能的主要场所之一。工业和公共部门组织已经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，智能城市项目中的数据驱动建模和面部识别技术（FRT）。这些部署伴随着重大的政策举措，这些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），以及通过政策展览，以用户为中心的研讨会和公民咖啡馆与受影响社区的机构接触。然而，从街道的角度来看，人工智能创新往往表现为一个混乱的社会现实，引发的摩擦超过了现有的负责任创新框架：在剑桥，消防队员在救火时不得不移动一个挡路的送货机器人，而在澳大利亚，一架送餐无人机紧急降落在一组输电线上后，郊区没有电。因此，负责任的人工智能的一般框架与人工智能在街头的具体生活现实之间仍然存在重大分歧。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的、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。为了弥合外行和专家对人工智能创新的理解之间的鸿沟，我们将评估和原型化一套日常人工智能的街头观察站。这些观察站的目的是探索日常公众如何在主要场所-城市街道-感知和参与人工智能，在那里，人工智能在社会中的具体转变，利益，危害和责任可以变得可见，从而为公众和利益相关者所理解。为了实现这一目标，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人工智能在生活环境中的影响。我们的范围项目将1）建立跨人文，艺术和社会科学的合作伙伴关系，并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合作伙伴关系。我们将与当地政府合作，在英国4个不同的城市--剑桥、考文垂、伦敦和爱丁堡--以及一个国际性的地点--洛根（澳大利亚）--试验街道级的人工智能观测站。这些观测站将结合联合收割机数字化、基于地点和/或具体化的方法，如数据漫游和传感器媒体（应用程序），旨在支持项目团队和合作伙伴之间的共享学习。在城市街道上试用人工智能观测站将使我们能够进行3）评估和原型化日常人工智能观测站的联合过程。这将使人们看到日常社会生活与人工智能的纠缠，在复杂的现实世界环境中展示人和技术，其中部门，学科和专业利益交叉。这将是地方和国家政府、公共政策创新、人工智能科学家和行业代表感兴趣的合作伙伴的空间，并为行业、政策制定者、研究人员和日常公众之间对社会反应和优先事项的共同理解创造机会。

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.