My research examines the evolution and impact of AI in contemporary art practices, investigating how artificial intelligence challenges and enhances our understanding of creativity. Through both theoretical analysis and practical experimentation, I explore the motivations driving artists to engage with AI technologies and develop frameworks for understanding this emerging field. Combining the research in AI technologies with my personal artistic practice and professional projects.

• The interface between analog and digital worlds in visual perception
• Integration of AI technologies in traditional artistic practices
• Development of frameworks for analyzing and categorizing AI art
• Ethical implications and considerations in AI-driven creative processes
• Audience engagement strategies for technology-enhanced artworks

Exhibitions

• Cat Royale was presented as a time delayed video stream at the World Science Fair in Brisbane to an audience of over 400,000 people. Collaboration as part of the PhD (2023)
• Creative Machine 2, Goldsmiths University, London (2018)
• Artist in Residency, Bargehouse Oxo Tower London (2017)
• Group exhibition at Imperial College in London (2017)
• The Muse art Gallery in London (2017)
• MA Final Show, Middlesex University London (2017)
• Hidden, Group Exhibition, Majestic Studio Art Gallery (2017)
• Purmundus Challenge Finalist, FormNext Expo, Frankfurt (2017)
• Artrooms 2017, Melia White House, London (2017)
• SiOTT Gallery, London (2016)
• Art Gemini Prize Exhibition, Asia House, London (2016)
• Wikiarte Bologna, "LE STAGIONI DELL'ARTE III edizione" (2016)
• Collective Exhibition, Expart Gallery, Austria (2016)
• HAY Festival, Collaboration with Paul St George (2015)

Awards & Recognition

• Cat Royale has won the Webby People's Voice Winner for the 'Best Integrated Experience in the AI, Metaverse & Virtual' category (collaboration) (2024)
• Finalist, Purmundus Challenge, Frankfurt (2017)
• Shortlisted, National Open Art Competition, London (2017)
• Shortlisted, Art Gemini Prize, London (2016)
• Premio Nazionale Arte Alba città d'arte - Second Place (2005)
• Premio Nazionale Arte Alba città d'arte - Third Place (2007)

Academic Publications

• Salimbeni, Guido, et al. "Decoding AI in Contemporary Art: A Five-Trope Classification for Understanding and Categorization." Leonardo (2024): 420-426.
• Salimbeni, G., Leymarie, F.F. and Latham, W., 2019. Generative system to assist the artist in choosing a 3D composition for a still-life painting. In Machine Learning for Creativity and Design (NeurIPS 2019 Workshop).
• Salimbeni, G., Fol Leymarie, F. and Latham, W., 2022. A machine learning Application based on Giorgio Morandi's Still-life paintings to Assist Artists in the Choice of 3d Compositions. Leonardo, 55(1), pp.57-61
• Leymarie, F.F., Latham, W., Sternberg, M.J., Salimbeni, G., Islam, S.A., Reynolds, C., Cook, C., Suarez, L.A. and Leinfellner, R., 2022. Bioblox 2.5 D--Developing an Educational Game Based on Protein-Docking. arXiv preprint arXiv:2204.12425.
• Salimbeni, G. (2025). Cultivating Visual Literacy: A Play-Based Approach to Drawing Education for Young Children. EdarXiv preprint.

Conference Proceedings

• Benford SD, Mancini C, Chamberlain A, Schneiders E, Castle-Green SD, Fischer JE, Kucukyilmaz A, Salimbeni G, Ngo VZ, Barnard P, Adams M. Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space. In Proceedings of the CHI Conference on Human Factors in Computing Systems 2024 May 11 (pp. 1-15).
• Sivertsen C, Salimbeni G, Løvlie AS, Benford SD, Zhu J. Machine Learning Processes as Sources of Ambiguity: Insights from AI Art. In Proceedings of the CHI Conference on Human Factors in Computing Systems 2024 May 11 (pp. 1-14).

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