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floatingprojectscollective.net/art-notes/mining-datafied-world

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Whereas artificial intelligence (AI) has reshaped our vernacular and infiltrated our quotidian landscape with various forms of handy consumer technology, there is a vast blank space artists could fill in: what are the intricacies of the computational processes of data we call Machine Learning (ML), what are the learning models and what exactly do they do? Artists should be familiar with contemporary art’s growing emphasis on processes and concepts of an open work over just the final product: what differences would they make in the case of ML, whose main usage has been for predicting outcomes? Assuming that the materiality of ML qualifies it for a new kind of artistic medium and raw material, what are the implications on artmaking in contemporary times? Between the technology experts and scholars in the humanities, artists have unique roles to play. They could do more than humanities scholars’ caution against euphemism for new technology. They could also do more than propagating package

據點一杯茶 Floating Teatime 打開門 Open Door 據點。句點群體 Collective 重點策劃 Signature Projects 關於我們 About Personally Speaking 私物語 FEATURES 專題 Creative Writings 創作性書寫 Seriously Speaking 大聲發表 Art Notes 藝文談暢 Coffee Fantasia 咖啡經 Eat Well Drink Well Breathe Well 吃好喝好透心涼 FieldNotes 考察中 FP Publishing 據點出品 Mining the “Datafied World”: beyond the social dystopic-utopic split view through art (part 1) Linda Chiu-han Lai 黎肖嫻 發表於: 09 Apr 2026 檔案: FieldNotes 考察中 Art Notes 藝文談暢 Seriously Speaking 大聲發表 Whereas artificial intelligence (AI) has reshaped our vernacular and infiltrated our quotidian landscape with various form

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