AI is already transforming the art and culture sector, reshaping how museums and cultural institutions operate.

Refik Anadol’s immersive installations, like “Unsupervised” at the Museum of Modern Art (MoMA), use generative AI models trained on 180,000 artworks to create dynamic, abstract visualizations, challenging our perceptions of art and technology.

the Rijksmuseum in Amsterdam used AI to restore the missing edges of Rembrandt’s “The Night Watch,” applying machine learning techniques to mimic Rembrandt’s style, demonstrating AI’s potential in art conservation.

AI provides museums with the foresight needed to anticipate trends and adapt to an evolving digital landscape.

The National Gallery in the UK has developed a predictive analytics dashboard to forecast visitor numbers for exhibitions, optimizing resource allocation and enhancing operational efficiency.

The ZKM in Germany has implemented AI to support voice identification technologies, allowing exhibitions to adapt content dynamically based on the spoken language of the visitor, paving the way for more inclusive and responsive museum experiences.

AI is transforming creative processes, allowing cultural institutions to explore new artistic frontiers.

The Barbican Centre’s exhibition “AI: More than Human” showcased collaborations between AI and artists, pushing the boundaries of creativity by blending human intuition with machine learning .

The Ludwig Forum Aachen’s Training the Archive project in Germany is using machine learning for pattern recognition in curatorial practice, revealing new insights and connections within art collections that would have been impossible to uncover manually.