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Eva Cetinić

Biographic Data

ID10700113
NAMEEva Cetinić
GIVEN NAMESEva
FAMILY NAMECetinić
SIGNATURECETINIC E
AFFILIATIONSUniversity of Zurich
ORCID0000-0002-5330-1259
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Perpetuating misogyny with generative AI

    Open Access•Laura Wagner, Laura A Wagner et al.•ARTICLE•Big Data & Society•2026

    Open-source text-to-image (TTI) pipelines have become dominant in the landscape of AI-generated visual content, driven by technological advances that enable users to personalize models through adapters tailored to specific tasks. While personalization methods such as LoRA (low-rank adaptation) offer unprecedented creative opportunities, they also facilitate harmful practices, including the generation of non-consensual deepfakes and the amplificat…

  • Understanding and Creating Art with AI

    Open Access•Eva Cetinić, James She•ARTICLE•ACM Transactions on Multimedia…•2022

    Technologies related to artificial intelligence (AI) have a strong impact on the changes of research and creative practices in visual arts. The growing number of research initiatives and creative applications that emerge in the intersection of AI and art motivates us to examine and discuss the creative and explorative potentials of AI technologies in the context of art. This article provides an integrated review of two facets of AI and art: (1) A…

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  • Understanding and Creating Art with AI

    Open Access•Eva Cetinić, James She•ARTICLE•ACM Transactions on Multimedia…•2022

    Technologies related to artificial intelligence (AI) have a strong impact on the changes of research and creative practices in visual arts. The growing number of research initiatives and creative applications that emerge in the intersection of AI and art motivates us to examine and discuss the creative and explorative potentials of AI technologies in the context of art. This article provides an integrated review of two facets of AI and art: (1) A…

  • Perpetuating misogyny with generative AI

    Open Access•Laura Wagner, Laura A Wagner et al.•ARTICLE•Big Data & Society•2026

    Open-source text-to-image (TTI) pipelines have become dominant in the landscape of AI-generated visual content, driven by technological advances that enable users to personalize models through adapters tailored to specific tasks. While personalization methods such as LoRA (low-rank adaptation) offer unprecedented creative opportunities, they also facilitate harmful practices, including the generation of non-consensual deepfakes and the amplificat…

Accountability (1 work) · Aesthetic Perception and Analysis (1 work) · Art (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Context (archaeology) (1 work) · Data science (1 work) · Digital art (1 work) · Drone (1 work) · Engineering (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae