Year: 2023
Type: conference-paper
Abstract: In recent years, the concept of intelligence has become a popular term that accompanies various actions, practices, processes, and products. This prominent presence in contemporary discussions stems from two significant factors. Firstly, there has been a fundamental shift in our understand- ing of intelligence. It is no longer seen solely as a quality exclusive to humans but rather as a collec- tion of emerging properties and conditions that can exist in both human and non-human entities. Secondly, intelligence is now viewed as a multi-layered relationship between a ‘brain’ (whether human or non-human), a body, and the environment(s) in which that body exists. Presently, intelligence encompasses all aspects of design, introducing a new form of design intel- ligence that differs greatly from the human-centered approaches of the past. Similarly, creativity is no longer solely attributed to the human brain. Its definition has expanded to include the op- erational value of novel abstractions and pattern associations generated through machine-driven thinking processes. Architects are now exploring various “intelligent” tools such as different AI languages, generative adversarial networks and text-to-image tools to understand how non-human intelligence can be applied to address contemporary issues in cities and urban centers, and considering also the ex- pected benefits and the possible risks originating from their use. The paper aims to investigate the emergence of a post-digital sensibility in architecture and seeks to delve– through theoretical and practical apporaches - the notion of creativity and intelligence in a post-human design ecology while demystifying the so-called ‘risks’ associated with the utili- zation of Neural Network processes in design. Furthermore, it aims to assess the extent to which these processes can inform architectural design for today’s challenges.
DOI: 10.37199/c41000114
Author: Valerio PERNA
Institution: Polis University
Language: English
Subfield: Architecture
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4390722147