Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
Making a Smart City Legible. / Pilling, Franziska; Akmal, Haider Ali; Lindley, Joseph et al.
Machine Learning and the City: Applications in Architecture and Urban Design. ed. / Silvio Carter. John Wiley & Sons, Ltd, 2022. p. 453-465.Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
}
TY - CHAP
T1 - Making a Smart City Legible
AU - Pilling, Franziska
AU - Akmal, Haider Ali
AU - Lindley, Joseph
AU - Coulton, Paul
PY - 2022/5/21
Y1 - 2022/5/21
N2 - This chapter discusses Lancaster City Council's AI for Lancaster Programme. The programme has been a collaboration between the City Council, the International Organization for Artificial Intelligence Legibility, PETRAS and Imagination Lancaster. The chapter describes the design concepts implemented in the city in order to communicate the use of artificial intelligence (AI) to citizens, juxtaposing the designs themselves with extracts from interviews and research conducted to evaluate them. Any innovation supporting the implementation of responsible AI systems in urban contexts should be welcomed, and tools like Design Fiction should be employed to smooth the way for this process. In conclusion, the chapter also discusses how the insights derived from the AI for Lancaster Programme can help inform smart city initiatives while supporting the emergence of hybrid sociologies to describe the urban, social, and technological world we live in.
AB - This chapter discusses Lancaster City Council's AI for Lancaster Programme. The programme has been a collaboration between the City Council, the International Organization for Artificial Intelligence Legibility, PETRAS and Imagination Lancaster. The chapter describes the design concepts implemented in the city in order to communicate the use of artificial intelligence (AI) to citizens, juxtaposing the designs themselves with extracts from interviews and research conducted to evaluate them. Any innovation supporting the implementation of responsible AI systems in urban contexts should be welcomed, and tools like Design Fiction should be employed to smooth the way for this process. In conclusion, the chapter also discusses how the insights derived from the AI for Lancaster Programme can help inform smart city initiatives while supporting the emergence of hybrid sociologies to describe the urban, social, and technological world we live in.
U2 - 10.1002/9781119815075.ch33
DO - 10.1002/9781119815075.ch33
M3 - Chapter (peer-reviewed)
SN - 9781119749639
SP - 453
EP - 465
BT - Machine Learning and the City
A2 - Carter, Silvio
PB - John Wiley & Sons, Ltd
ER -