This thesis aims to conduct a socio-political discourse analysis (SPDA) of digital articles discussing "The Portrait of Edmond Belamy," created by the Obvious team using AI. The sale of this portrait at Christie's auction for a record $432,500 excited the world. This was the first work sold at auction and created in collaboration with AI. The purpose is to explore AI and its integration into artistic practices and media discourse surrounding the event. The research question this dissertation seeks to explore is: "How AI-generated art, namely the portrait of Edmond de Belamy, is represented in digital media?". The sample consists of 12 articles from the UK and the USA outlets. It is analysed according to Van Dijk’s SPDA concepts as well as Actor-Network Theory (ANT) and Media Dissemination theory. Speaking about key findings, it can be mentioned that political-oriented magazines stress authenticity, while those on art and technology explore broader themes. Power dynamics among stakeholders shape perceptions of AI art, influencing its reception and evaluation. Market recognition at auctions underscores its value, reshaping perceptions of artistic worth. Ethical concerns raise questions on intellectual property, authorship, and code attribution, necessitating regulatory frameworks. Critical analysis provides diverse views on AI-generated artworks, challenging traditional notions of creativity and authenticity. The discourse reflects societal attitudes towards technology, creativity, and cultural production. Understanding AI art's implications aids informed dialogue and decision-making. Future research on practitioners' experiences offers insights into human-AI interactions in creativity, contributing to a nuanced understanding of this interplay.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mau-69596 |
| Date | January 2024 |
| Creators | Khabarova, Iuliia |
| Publisher | Malmö universitet, Institutionen för konst, kultur och kommunikation (K3) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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