Between Algorithms and Ancestral Knowledge: Expanding the Concept of Architectural Intelligence
Artificial intelligence (AI) is no longer a futuristic idea in architecture — it is a concrete reality that is reshaping how we design. In seconds, computational systems can process and evaluate a wide range of variables — formal, programmatic, contextual, and regulatory — guiding architects toward highly optimized solutions. But as we embrace this algorithmic revolution, a critical question arises: can architectural intelligence be reduced to data-driven logic? In response, alternative approaches are gaining momentum — ones that value ways of building grounded in sensory experience, adaptation to place, and the intergenerational transmission of knowledge. In the exchange between artificial and ancestral forms of intelligence, a deeper understanding begins to take shape. Intelligence does not reside in the tools themselves, but in the intention and sensitivity with which we use them to navigate complex realities.
Luum Temple / CO-LAB Design Office. Image © César Béjar
Artificial intelligence (AI) is no longer a futuristic idea in architecture — it is a concrete reality that is reshaping how we design. In seconds, computational systems can process and evaluate a wide range of variables — formal, programmatic, contextual, and regulatory — guiding architects toward highly optimized solutions. But as we embrace this algorithmic revolution, a critical question arises: can architectural intelligence be reduced to data-driven logic? In response, alternative approaches are gaining momentum — ones that value ways of building grounded in sensory experience, adaptation to place, and the intergenerational transmission of knowledge. In the exchange between artificial and ancestral forms of intelligence, a deeper understanding begins to take shape. Intelligence does not reside in the tools themselves, but in the intention and sensitivity with which we use them to navigate complex realities.
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