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AI-art discourse narrows artist concerns, study finds

A new arXiv paper by Oliver Muellerklein analyzes public discourse surrounding AI and art, revealing a phenomenon termed "semantic compression." This compression systematically narrows the diverse concerns of artists into a limited set of public discussion topics. The research indicates that while artists' statements are concentrated in only two discourse areas, the majority of public discussion occurs in topics where artists have no voice. This pattern effectively marginalizes primary stakeholders in the discourse that influences AI governance and the creative economy. AI

IMPACT Highlights how public discourse on AI art may marginalize artists' specific concerns, potentially impacting AI governance and the creative economy.

RANK_REASON Research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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AI-art discourse narrows artist concerns, study finds

COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Ariya Mukherjee-Gandhi, Oliver Muellerklein ·

    When Algorithms Meet Artists: Semantic Compression and Stake-holder Marginalisation in Public AI-Art Discourse (2013-2025)

    arXiv:2508.03037v5 Announce Type: replace Abstract: Artists occupy a paradoxical position in generative AI. Their own work trains models that now compete with them, replicate their styles, and reshape the creative economy they inhabit. Yet whether artist concerns achieve proporti…