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SUMMARY:Creativity without creators? On why we are reluctant to praise AI 
 creativity. - Deborah Marber
DTSTART;TZID=US/Central:20260716T143000
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DTSTAMP:20260726T081733Z
UID:pretalx-iacap-2026-CBWBAM@pretalx.iacapconf.org
DESCRIPTION:Note: This is a paper co-authored with Katsunori Miyahara (htt
 ps://kmiyahara.weebly.com/) and Ian Robertson (https://scholar.google.com/
 citations?user=bV7OgRYAAAAJ&hl=en). \n\nWhile artificial intelligence (AI)
  models demonstrably exhibit performative creativity by generating novel a
 nd sophisticated artworks\, the appropriate evaluative attitude toward the
 se models remains obscure. In this paper\, we argue that despite their cre
 ative efficacy\, AI models are fundamentally unworthy of praise as creator
 s. We first critique a common and initially attractive argument for this v
 iew: AI lacks creative intention. We demonstrate that this line of reasoni
 ng is unconvincing\, as human creators frequently produce praise-worthy wo
 rks through unintentional actions\, proving that creative intention is not
  a necessary condition for praise-worthy creativity. Next\, we introduce t
 he core problem: generative AI models are not properly individuated as tar
 gets of praise. Human creativity is an expression of who the agent is. Hum
 an creators constitute their identity as a creator through the very act of
  creation. Therefore\, we praise the source of the work\, the creator\, al
 ongside the work itself. Conversely\, AI models are static entities whose 
 identity as “creators” is predetermined from without and entirely deco
 upled from active engagement. Since AI models do not make themselves throu
 gh the act of creation\, there is no distinct target to whom praise can be
  coherently directed in the case of artificial creativity. Finally\, we pr
 opose that the correct evaluative attitude toward AI may be awe\, an attit
 ude akin to our aesthetic appreciation of the natural world\, where profou
 nd creativity manifests in the absence of an individuated agent.
LOCATION:Executive Conference Room
URL:https://pretalx.iacapconf.org/iacap-2026/talk/CBWBAM/
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