What can AI learn from the street? The everyday sites where we most often encounter AI are in the street, through traffic management systems, self-driving cars, navigation apps and facial recognition in CCTV systems.

But how are these systems rubbing up against ideas of surveillance, and as they develop further, what measures are being taken to ensure that civil liberties are being maintained? What kind of AI do we really need in the street? And what does responsible AI in the street look like?

Our experts will share findings from street-level 'AI observatories' that were in Cambridge, Coventry, London, Edinburgh and Logan (Australia). These observatories created opportunities for local community partners to observe how AI manifests in everyday life, turning to city streets as a place where specific transformations, benefits, harms and (ir)responsibilities of AI in society can be made visible.

Join hosts Mercedes Bunz from King's College London and Noortje Marres from the University of Warwick to dive into the messy social reality of AI in the street and explore how this can inform the future development of AI with a panel of industry experts including:

• Theo Damoulas, Professor of Machine Learning and Data Science at the University of Warwick
• Maya Indira Ganesh, Associate Director and Senior Research Fellow at the Centre for the Future of Intelligence, Cambridge
• Sam Nutt, Data Ethicist for the London Office of Technology and Innovation (LOTI)
• Janet Vaughan, co-director of Talking Birds, a Coventry-based company of artists producing thoughtful, playful, resonant, mischievous and transformative meditations on people and place

The event is hosted by Science Gallery London at King’s College London as part of ‘AI in the street: scoping everyday observatories for public engagement with connected and automated urban environment’, a BRAID funded project led by Professor Noortje Marres (University of Warwick).