AI Usage at a Glance
May 6, 2020
RecommendationPractice documented: Saatchi Art uses machine learning to personalize the artworks shown to visitors based on their past browsing behavior, with the system also incorporating selections curated by the company's human art experts. Buyers browsing the site see recommended artworks shaped by both their own history and human curatorial taste.
Practice DocumentedView practice →Jul 24, 2024
ModerationPractice documented: Saatchi Art deployed a policy prohibiting the sale of purely AI-prompted artworks on its platform, backed by a team review process that assesses uploaded artwork for compliance with its originality requirements. Artists who use AI tools must ensure the final piece is substantially their own work.
Practice DocumentedView practice →Saatchi Art deployed a policy prohibiting the sale of purely AI-prompted artworks on its platform, backed by a team review process that assesses uploaded artwork for compliance with its originality requirements. Artists who use AI tools must ensure the final piece is substantially their own work.
Saatchi Art's official Help Center page, published in 2024, states that the company prohibits artworks where AI generated the final output without significant human creative transformation. The company's team reserves the right to review and assess the originality of uploaded artwork; pieces found to violate the policy may be removed. Artists must also disclose in artwork descriptions if AI tools were used at any stage. The review process is described as human-led, with no public confirmation that automated AI detection tools are used to flag submissions, though such tools are common industry practice.
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Saatchi Art uses machine learning to personalize the artworks shown to visitors based on their past browsing behavior, with the system also incorporating selections curated by the company's human art experts. Buyers browsing the site see recommended artworks shaped by both their own history and human curatorial taste.
According to a 2020 blog post by Saatchi Art's General Manager, the company integrates its curators' custom collections into machine learning recommendations so that visitors receive not only artworks predicted to match their tastes from browsing history, but also more nuanced suggestions chosen by human curators. The system takes user behavioral data as input and produces a ranked or filtered set of artwork suggestions as output. The exact technical architecture (e.g., collaborative filtering, content-based filtering) is not specified in available sources.