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UID:7371-409@gi.de
CLASS: PUBLIC
SUMMARY:ITeG-Ringvorlesung "The Indirect Disclosure Effect: How Disclosing 
 Generative AI Use Impacts Creators' Collaboration with AI"
DESCRIPTION:In der ITeG-Ringvorlesung "Digitale Gesellschaft - eine Gestalt
 ungsaufgabe" wird am 19. November 2025 Prof. Dr. Ekaterina Jussupow Einblic
 ke geben zum Thema "The Indirect Disclosure Effect: How Disclosing Generati
 ve AI Use Impacts Creators' Collaboration with AI".\n\n\n\nEkaterina Jussup
 ow is an Associate Professor (W2, tenure track) in Information Systems at t
 he Technical University of Darmstadt. With a foundation in psychology, her 
 research explores how individuals collaborate with AI systems, emphasizing 
 the cognitive and metacognitive processes that shape these interactions. He
 r work has been recognized with a Best Paper Runner-Up Award from Informati
 on Systems Research (ISR), and her dissertation earned the prestigious TARG
 ION Award. Her research has been published in leading outlets, including In
 formation Systems Research and MIS Quarterly.\n\n\n\nZusammenfassung ihres 
 Vortrags:\n\nText-to-image generative artificial intelligence (GenAI) syste
 ms enable creators to produce visual content through prompt-based interacti
 on, blending human input with computational creativity. Concurrently, regul
 ators and industry stakeholders are advancing disclosure policies that mand
 ate transparency about GenAI involvement. While prior research has focused 
 on how GenAI disclosure shapes audience perceptions, less is known about ho
 w anticipated disclosure affects creators’ perceptions and behaviors. Using
  a nested mixed-methods approach, we conducted two experiments to examine h
 ow creators interact with GenAI tools when they anticipate that judges will
  either learn or not learn about their GenAI use. We identify a novel indir
 ect disclosure effect. When creators anticipate that their use of GenAI wil
 l be revealed, they reduce their creative involvement in both idea generati
 on and execution. Specifically, they invest less effort in prompting, ident
 ify less with the result, and perceive the resulting images as a less authe
 ntic expression of themselves. This shift in the collaboration results in i
 mages perceived as more novel but less visually appealing by a judging pane
 l. We also find some evidence that the effect of anticipating GenAI disclos
 ure on the creative involvement is mediated by second-order beliefs, in par
 ticular, creators’ expectations that judges will perceive the image as a di
 shonest creative work. Interestingly, we only observe these effects on the 
 creative process when creators know that the judging panel consists of layp
 eople. For an expert panel, the effects are negligibly small and statistica
 lly insignificant, hinting at a boundary condition of the novel indirect ef
 fect. Our findings underscore the socio-technical dynamics of GenAI usage a
 nd highlight how disclosure policies and the implementation of content cred
 ential technologies influence not only how creative artifacts are judged bu
 t also how they are produced. We discuss practical and societal implication
 s for platforms and policymakers, emphasizing the need to highlight human i
 nvolvement in disclosing GenAI.
LOCATION:ITeG - Wissenschaftliches Zentrum für Informationstechnik-Gestaltu
 ng, Universität Kassel
DTSTAMP:20251020T105202Z
DTSTART:20251119T160000Z
DTEND:20251119T180000Z
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