Artificial intelligence and post-pandemic recovery

Book Chapter (2024)
Author(s)

Dr. A. Ersoy (TU Delft - Urban Development Management)

Luciano Cavalcante Siebert (TU Delft - Interactive Intelligence)

T. Wang (TU Delft - Design & Construction Management)

Paul Chan (TU Delft - Design & Construction Management)

Research Group
Urban Development Management
DOI related publication
https://doi.org/10.4337/9781802201116.00022
More Info
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Publication Year
2024
Language
English
Related content
Research Group
Urban Development Management
Pages (from-to)
178-186
ISBN (print)
9781802201109
ISBN (electronic)
9781802201116
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Abstract

Artificial Intelligence (AI) has become one of the most dicussed topics of today and are being used to support solving complex problems. AI has given opportunities for efficiency, control, safety while raising issues around trust, optimism and responsibility. One of the prominent features of AI resides in the digitalization of the built environment. Optimizing the built environment to improve quality of life, adapt to climate change and respond to crises requires strategies to redesign, reproduce and manage the traditional ways the built environment has been shaped. In this chapter, we present demonstate how we can use AI for post-pandemic recovery. To do that, we first start with addressing digital transformation and the role of AI. We then discuss how we can accelerate this transformation in cities. We will reflect on the covid-19 crises and the impact of the crises in the built environment. We argue that the use of AI raises new possibilities, questions and problems around how we can better organize the built environment and more inclusive participation while supporting existing logics of the built environment.

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