In the latest episode of the "Arts and Everything in Between" podcast, Priya Patel sits down with Lucia Cipollina Kun, a PhD student at the University of Bristol and a member of the LAION AI research group, to explore the transformative role of AI in museums, culture, and heritage.
If you're curious about how AI is revolutionising the way we preserve and interact with art, this fascinating conversation is a must-listen - you can find it here, or wherever you get your podcasts.
By way of a sneak peek, here are some key takeaways:
Lucia's journey into AI-driven art restoration began with her background in mathematics. She was drawn to the works of Escher, a painter who beautifully combined art with mathematical concepts. Her initial project involved completing an unfinished lithography by Escher (pictured below), leveraging AI's ability to identify patterns and structures. This project marked the beginning of her exploration into how AI can aid in art restoration and preservation.
AI's capabilities extend far beyond simple pattern recognition. For instance, AI can assist in distinguishing between real and fake paintings, providing experts with probabilistic assessments of authenticity. This technology also enables the virtual unrolling of ancient, burnt papyri from Herculaneum, revealing their contents without physical damage.
Lucia's work has been showcased at the Tate Britain, where AI was used to engage audiences with art in innovative ways. Visitors were able to interact with paintings through virtual reality (VR) and create their own interpretations using AI-generated prompts. This approach not only enhances audience engagement but also makes art more accessible and interactive, especially for younger audiences.
In museums, AI is also being used to handle delicate specimens and artifacts. For example, the Natural History Museum in Britain employs robots to catalogue and manage small, fragile items such as insect collections. Drones and 3D scanning technologies are employed in archaeological sites like Pompeii to monitor and preserve ancient structures without causing damage.
Despite its potential, the implementation of AI in art and heritage preservation faces several challenges. One major issue is the availability and quality of data. AI models are data-hungry, requiring vast amounts of labelled data to function effectively. Additionally, copyright concerns must be navigated, especially when using works by famous artists.
Lucia emphasises the importance of collaboration between AI researchers, artists, and cultural institutions. By working together, these stakeholders can ensure that AI tools are used ethically and effectively to enhance our understanding and preservation of cultural heritage.
Looking ahead, Lucia is particularly excited about the potential of AI to uncover new insights from ancient artifacts. The ongoing work with the Herculaneum papyri, for instance, promises to reveal long-lost texts and provide a deeper understanding of ancient cultures.
Furthermore, AI can help identify patterns and influences across different art forms and cultures, offering new perspectives on how artistic traditions have evolved and intersected over time.
AI is proving to be a powerful tool in art and heritage preservation. By combining traditional techniques with cutting-edge technology, researchers like Lucia are opening up new possibilities for restoring and understanding our cultural treasures. AI is making art and heritage more accessible, engaging, and insightful for everyone.
For more information and to explore some of Lucia's projects, visit the Art Restore AI website. Listen to the full episode below, or where ever you get your podcasts. Be sure to like, subscribe, and share this episode of the Arts and Everything in Between podcast.