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AI in the street: creating everyday observatories of AI in city streets

AI in the street: creating everyday observatories of AI
in city streets

This project promoted digital equity by involving diverse communities in co-creating public "everyday AI observatories", spaces where communities could see, record and discuss how AI was already affecting their lives. These observatories explored the real-world impact of AI in urban settings, making visible both the promises of AI and social inequalities that it might create or amplify.

Team

Prof. Noortje Marres

Centre for Interdisciplinary Methodologies, University of 糖心TV

Prof. Theo Damoulas

Department of Computer Science, University of 糖心TV

Dr. Iain Emsley

Centre for Interdisciplinary Methodologies, University of 糖心TV

Yasmine Boudiaf
University of the Arts London

Derek Nisbet
Talking Birds

Janet Vaughan
Talking Birds

More information

 
presented by project partner Careful Industries

AI in the street

AI in the street project website

This project was funded by the (Bridging Divides in Responsible AI) and the Monash-糖心TV Alliance Co-Fund.

Interested in learning more, please contact n.marres@warwick.ac.uk for more information.



The Project

Over the Spring and Summer of 2024, technology & society researchers teamed up with creative partners to create and launch public observatories of AI in everyday life in city streets across the UK (in Coventry, Edinburgh, London and Cambridge) and Australia (Logan). The work engaged diverse public communities in learning about AI as a messy social reality, and documented a variety of public perceptions of AI innovation in urban settings, ranging from concerns about the exclusion of local people from AI's benefits and the positive potential of addressing pollution with AI.

Methods

The project methodology of the co-creation of everyday AI observatories is informing new projects on the local governance of AI in different UK cities.

The observatories took place in four locations across the UK and one in Australia using place-based methods:

  • In Cambridge (鈥渢he difficult crossing鈥), we utilised an Access Data Walk near a particularly congested crossing, where a smart mobility trial was taking place at the time.
  • In Coventry (鈥渢he commuter road鈥), we conducted a Listening Walk along Holyhead Road that invited participants to identify and discuss the automated driving infrastructures being trialed on the road.
  • In Edinburgh (鈥渢he transactional street鈥), we hosted data walks along Leith Walk, a busy commercial thoroughfare with shops, cafes, bars and major transport links.
  • In Logan (Australia) (鈥渢he street in the sky鈥), we invited local residents to contribute to an online data portal where they were able to share photos, videos, and anecdotes describing their experiences living within a drone delivery trial zone. We also had participants, including local shop owners, long-term residents, and new residents, participate in a short documentary film describing their experiences.
  • In London (鈥渢he thoroughfare鈥), we facilitated a series of collaborative, site-specific workshops in three locations across the city that used a combination of role play, creative discussion formats, visual mapping and collaborative diagramming to understand participants鈥 knowledge, questions and concerns regarding the use of AI on the street.

.....

Results

Collectively, the 5 observatories offer insights into how data-intensive and AI technologies manifest as messy social realities. Together the project鈥檚 findings demonstrate how people鈥檚 lived experiences can inform the governance of AI in cities. These insights will be of interest to partners in local and national government, public policy innovation, and AI scientists and industry representatives. They will create opportunities for developing shared understandings of societal responses and priorities between industry, policymakers, researchers and everyday publics

The project team authored a policy facing report, which was launched at NewSpeak House (London) in an event featuring the Ada Lovelace Institute, The Local Government Association, and Foxglove.

Project findings were also presented to government and policy partners at NESTA, the West Midlands Transport Authority, the Cambridge Smart Mobility Partnership, the London Office for Technology and Innovation and the Scottish AI Alliance

The project has been featured in various publications including and the BBC Radio 4 Program


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