Flawed. On Biases and the Complexity of Human Things.

While some view AI and data-driven methodologies as essential for tackling complex urban challenges, others regard them as remnants of an outdated modernist obsession with measurement. Despite rapid technological advancements, architectural debates often lag behind, grappling with the ethical and societal implications as these technologies reshape our environments. Considering AI not merely as a technical tool but as an integrated system shaped by values, ideologies, and historical contexts, this paper explores the belief in computation‘s ability to solve human complexities, suggesting that the real danger lies not in the technology itself but in the bureaucratization of the model. While data extraction will likely persist despite skepticism, addressing improper use could become increasingly challenging.