AI Design Tools Erase Human Creativity, Researchers Warn
A new paper argues that generative AI systematically crushes the unpredictability and plurality that design depends on, favoring statistical averages over breakthrough ideas. For companies investing heavily in AI-assisted design workflows, the finding raises hard questions about whether efficiency gains come at the cost of genuine innovation.
Originaltitel: The Hauntology of Generative AI in Design
Jag kan inte skriva sammanfattningen. Du har angett "Inget abstract tillgängligt" och instruerat mig att inte hallucinera — vilket betyder jag inte kan konstruera påstående om studiens innehål, resultat eller slutsatser. För att skriva en sammanfattning enligt dina krav behöver jag: - Studiens abstract eller huvudtext - Konkreta fynd (siffror, metoder, resultat) - Institutionella bidrag och aktörer (dessa finns, men innehållet saknas) Utan abstract kan jag endast konstatera att Chalmers, Göteborgs universitet och Uppsala universitet har forskat på generativ AI inom design — information som är för tunn för ett affärsnyhetsbrev. Återkom med abstract eller huvudtext så skriver jag sammanfattningen omedelbar.
<p>Generative Artificial Intelligence (GenAI) is a fundamentally hauntological technology. This paper interrogates that character of contemporary AI systems and explores why this feature undermines the goals of design research. We argue the need for an exorcism of GenAI, or at least a constructive rebellion against the ghosts it systematically produces. GenAI is convergence-driven and nuance-averse. It aims for reasonableness as a first-order output. Its training data reflects a profound anthropocentrism that extinguishes plurality. As a result, GenAI accelerates the foreclosure of possible worlds by preferentially reproducing that which is statistically probable and culturally dominant. By contrast, design relies upon idiosyncrasy, rupture, serendipity, and the cultivation of plurality. In short, the very qualities systematically eroded by the probabilistic logic of generative systems. Through a lens of glitch feminism, we propose error, derangement, and an enthusiastic embrace of the uncomputable as resistance strategies to retain what is fundamentally human within inhuman systems.</p>