Decoding AI in Contemporary Art

A Five-Trope Classification for Understanding and Categorization

Bibliographic Data

ID10273608
AuthorsGuido Salimbeni (0000-0001-6666-3518, Guido Salimbeni, University of Nottingham, Nottingham NG8 1BB, U.K. Email: [email protected]., corresponding author), Steve Benford (0000-0001-8041-2520, Steve Benford, University of Nottingham, Nottingham NG8 1BB, U.K. Email: [email protected]., corresponding author), Stuart Reeve (0000-0001-7145-3320, Stuart Reeves, University of Nottingham, Nottingham NG8 1BB, U.K. Email: [email protected]., corresponding author), Sarah Martindale (0000-0002-0427-5672, Sarah Martindale, University of Nottingham, Nottingham NG8 1BB, U.K. Email: [email protected]., corresponding author)
Year2024
Volume57
Issue4
Pages415-421
Publication date2024-08-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueLeonardo (JOURNAL)
Journal identifiersISSN: 0024-094X • E-ISSN: 1530-9282
PublisherMIT Press (PUBLISHER • US)
DOI10.1162/leon_a_02546
OpenAlexW4399369290
LanguageEN
Citations received2
References cited13

The article presents a historical overview of the classification of contemporary artworks that either have utilized artificial intelligence as a tool in their creation or focus on AI as their central theme or subject matter. The authors analyze artworks and descriptions, focusing on artists’ motivations and AI’s role in their practice, identifying five distinct tropes in AI art. The authors compare artworks with respect to key questions, creating a useful tool for art historians, curators, researchers, and artists. This historical classification provides a structured approach to understanding AI art’s creative significance and attributes as it has developed over time

Algorithm · Art · Categorization · Decoding methods · Literature · Natural language processing · Pattern recognition (psychology) · Trope (literature) · Aesthetic Perception and Analysis · Artificial Intelligence · Computer Science

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