The implications of artificial intelligence in morphogenesis processes. A critical methodology for urban regeneration strategies

Artificial intelligence (AI) and the related “exponential technologies” infuse everyday life”. AI is characterising the beginning of the twenty-first century and challenging “critical intelligence” in implementing novel methodologies and creative design solutions. Contemporary cities face an increased need for urban metabolic maintenance/transformation/reuse processes. This process could be “augmented” through the correct and conscious use of AI, involving accurate interpretation of data and consequent problem-solving. Integrating morphogenetic sciences and powerful AI technologies would prove crucial in improving the effectiveness of design processes in urban regeneration methodologies and critically reflecting on future typo-morphological visions. By testing AI's functionality and versatility, new urban regeneration paradigms could be defined, followed by studies on subsequent implementation processes. As mentioned, the research on methodology aims to integrate urban morphogenetics with AI technologies rooted in morphogenetic sciences. The theoretical foundations of the methodological approach are based on a necessary balance between tradition and innovation in urban design, moving away from the universal approach of the Modern Movement. The goal is to respect diverse cultural and geographical identities by proposing an “augmented” form of modernity adaptable to specific contexts.
The interaction between traditional analytical design methods and AI processes enables the development of specific protocols for operating and interrogating AI systems in urban morphogenetics. The objective is to use the fundamental principles of mutation as a framework for the examination through AI tools. Consequently, AI processes can provide projections of mutation phenomena based on the genetic constants of settlement systems and typical degeneration and regeneration processes. A series of AI-based inquiry processes will be presented. These processes will involve comparative analyses, both visual and written. The end goal is to provide a methodology to support future theories in urban regeneration interventions further, enhancing innovative and context-sensitive approaches to urban development.
Keywords: Artificial Intelligence (AI), Urban Regeneration, Morphogenetic Sciences,
Typo-Morphological Visions, Context-Sensitive Approaches
Theme: SHAPING THE CITY: Exploring Future Urban Forms