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London Observatory 2024: Reclaiming the 'Smart' Street

  • Science Gallery London Great Maze Pond London, England, SE1 United Kingdom (map)

Over the last decade, the street has emerged as one of the primary sites where everyday publics encounter AI. The ‘smart’ street and its users harbour massive amounts of data and computation that is deployed by public and private entities for multiple purposes in often opaque ways.

Join us at Science Gallery London for an artist-led workshop with Mukul Patel, Manu Luksch and Yasmine Boudiaf, which invites you to reclaim the street as a site that is citizen-centred, and rethink the concepts of ‘smart’ and ‘intelligent’.

This workshop is conducted as part of the London Observatory for AI in the Street – a collaborative project funded under the AHRC BRAID (Bridging Responsible AI Divides) programme and organised by King’s College London.

About the artists

Manu Luksch is an artist and filmmaker who interrogates the social, political and ecological ramifications of technology-based notions of progress. Mukul Patel is an intermedia artist whose practice spans writing, computation and installation, alongside composing for dance, film and environments. Luksch and Patel both conduct research at the Laboratory for Artificial Intelligence in Design, Royal College of Art. Yasmine Boudiaf is an Algerian creative technologist and researcher. Formerly at the Ada Lovelace Institute, she was recognised as one of '100 Brilliant Women in AI Ethics 2022'.

About AI in the Street

AI in the Street explores 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 for both publics and stakeholders. A collaboration between universities and a variety of non-academic partners, AI in the Street evaluates and trials street-level observatories of AI in four diverse UK cities – Cambridge, Coventry, London and Edinburgh. The wider aim is to ground understandings of AI in lived experiences.