Fine art authentication

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Fine art authentication - Wikipedia

From Wikipedia, the free encyclopedia

Fine art authentication is a process that ensures the integrity of artworks, preserves cultural heritage, and maintains trust in the art market. By combining traditional methods, scientific advancements,^[1]^[2] and emerging AI^[3] and Blockchain technologies,^[4] art authentication can offer accurate attributions and protect the artistic legacy for future generations.^[5] It consists of proving the authenticity of an artwork and its attribution to a specific artist.^[6] This process involves determining the origin, authorship, and historical significance of a piece of art.^[7] The proliferation of art forgeries and the increased skill of the forgers who are aware of what scientific analysis reveals requires a rigorous approach to fine art authentication.^[8]^[9]

History

The requirement for art authentication has been a historical practice, evolving over centuries alongside the growing recognition of artists and the increasing value associated with their creations. During the Renaissance,^[10] the authentication of artworks was primarily based on the artist's style, brushstrokes, and technical mastery. Nevertheless, distinguishing between the original and the copy often proved challenging.^[11] As art markets expanded globally and new artistic movements emerged, the authentication process became more intricate.^[12]

Documentation examination involves scrutinizing the authenticity and accuracy of supporting paperwork, including certificates of authenticity, exhibition, and gallery records, as well as correspondence.^[13]

Art authentication is a complex and multifaceted process, often accompanied by challenges and controversies. Some of the key issues include:^[11]^[14]

Thierry Lenain^[15] asserts that a forger's goal is to mislead the public into believing that the generated work of art is something else entirely. ^[16]

References

^ Pattern recognition applied in fine art authentication (in Portuguese). MAXWELL. 2002.
^ What is Carbon Dating? University of Chicago News, 2023-04-27. Retrieved 2023-08-15
^ Schaerf, Ludovica; Popovici, Carina; Postma, Eric (2023). "Art Authentication in Vision Transformers". Neural Computing and Applications. doi:10.1007/s00521-023-08864-8.
^ Whitaker, Amy (2019-10-18). "Art and Blockchain: A Primer, History, and Taxonomy of Blockchain Use Cases in the Arts". Artivate: A Journal of Entrepreneurship in the Arts. 8 (2): 21–46. doi:10.1353/artv.2019.0008. ISSN 2164-7747.
^ "How artificial intelligence affects the art insurance industry - Insurance Post". www.postonline.co.uk. 2023-04-05. Retrieved 2023-11-01.
^ "Fraud and forgery in the world of fine art". www.wbur.org. Retrieved 2023-11-01.
^ "Art Loss Register – The world's largest private database of stolen art"[1] Retrieved 2023-08-15
^ Rahm, Danielle. "Warhols, Pollocks, Fakes: Why Art Authenticators Are Running For The Hills". Forbes. Retrieved 2023-11-01.
^ Malaviya, Nalini S. "The fine art of authenticity". Deccan Herald. Retrieved 2023-11-01.
^ Cartwright, Mark, Mark (2020-07-10). "Copies & Fakes in Art during the Renaissance". World History Encyclopedia.
^ Mould, Philip (2010). The Art Detective: Fakes, Frauds, and Finds and the Search for Lost Treasures. Viking Adult. New York. ISBN 978-0670021857.
^ Jen Baker (2021-07-27), "Professional Painting Assessment: Pigment Analysis". Fine Art Restoration Company. Retrieved 2023-08-15
^ Authentication in Art [2] Retrieved 2023-08-15
^ Charney, Noah (2015). The Art of Forgery: The Minds, Motives and Methods of Master Forgers. Phaidon Press. ISBN 978-0714867458.
^ Lenain, Thierry (2011). Art Forgery: The History of a Modern Obsession. Reaktion Books. ISBN 978-1861898500.
^ Calcani, Giuliana (2022). "The Cultural Pollution of the Fake: The case of the Pseudo-Ancient Bronze of an "Artisan" at the Metropolitan Museum of Art". In Salvadori, Monica; Bernard, Elisa; Zamparo, Luca; Baggio, Monica (Eds.). Beyond Forgery. Collecting, Authentication and Protection of Cultural Heritage. Padova. ISBN 978-88-6938-292-5 – via Padova University Press.

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CS1 Portuguese-language sources (pt)