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AI as a path to architectural design knowledge

Meraz, Fidel

Authors

Profile image of Fidel Meraz

Fidel Meraz Fidel.Meraz@uwe.ac.uk
Senior Lecturer in Architecture



Abstract

This paper explores the role of Artificial Intelligence (AI) as a path to architectural design knowledge through the lens of phenomenology. It positions AI not as a replacement for human creativity but as a collaborator within an emerging creative ecosystem. Drawing from philosophical and design theory, the paper examines how human intelligence is constituted through perception, memory, and embodied experience, and contrasts it with the computational logic of AI. It investigates how AI can augment design intuition, accelerate iteration, and support more informed and responsive design decisions—while remaining ethically and epistemologically distinct from human judgment. The paper emphasises the importance of critical practice, contextual understanding, and ethical responsibility as AI becomes increasingly embedded in design processes. By integrating phenomenological awareness with AI’s computational capacity, designers can cultivate more situated, inclusive, and forward-thinking approaches to design knowledge. This hybrid practice demands vigilance, criticality, and care, but holds the promise of a more powerful and human-centred future for architectural design.

Presentation Conference Type Conference Paper (unpublished)
Conference Name 23rd International conference arquitectonics: Mind, land, and society
Start Date Jun 4, 2025
End Date Jun 6, 2025
Deposit Date Jun 17, 2025
Peer Reviewed Not Peer Reviewed
Public URL https://uwe-repository.worktribe.com/output/14570765
This output contributes to the following UN Sustainable Development Goals:

SDG 4 - Quality Education

Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all

SDG 9 - Industry, Innovation and Infrastructure

Build resilient infrastructure, promote inclusive and sustainable industrialisation and foster innovation

SDG 12 - Responsible Consumption and Production

Ensure sustainable consumption and production patterns






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