Category: Damaged Leaf Dataset

  • Can AI Make Art?

    Can AI Make Art?

    Public Philosophy Week 2025 With Juniper Lovato, Jennifer Karson, and Julia Zimmerman As generative AI transforms creative industries many critical questions arise: Can AI truly create art? Does the creation of art require agency? How does AI impact artists’ creative autonomy, ownership, and fairness in the artistic landscape? We will talk about our recent research…

  • AI, Nature, and Art

    AI, Nature, and Art

    Where do AI, the natural world, and digital art meet? We explored this rich terrain through The Generative Tree exhibition and programming with Champlain College Professors Kristin Wolf, Ariel Burgess, and their students! The following photo essay tells the story.

  • The Generative Tree

    The Generative Tree

    The Generative Tree exhibition has been….Generative! Check out the documentation over at the Plant Machine Design website and read the Seven Days Newspaper review.

  • Can technology save us from the climate crisis?

    Can technology save us from the climate crisis?

    The UVM Art and AI Research Group has created a project that director Jennifer Karson says begs the question: Can technology save us from the climate crisis?

  • The Three Generations of the Damaged Leaf Dataset (DLD)

    The Three Generations of the Damaged Leaf Dataset (DLD)

    Over 800 leaves from the Damaged Leaf Dataset were shown in floor to ceiling wallpaper at Burlington City Arts this spring. All three generations were represented, DLD III (created with AI) were shown as engravings on silicon wafers. Project Description: The leaf architectures of the Damaged Leaf Dataset (DLD) are ruins and creations. Collected in…

  • Co-Created: The Artist in the Age of Intelligent Machines

    Co-Created: The Artist in the Age of Intelligent Machines

    Opening Reception February 10, 2023 5-7pm Burlington City Arts Center, Burlington, Vermont Damaged Leaf Dataset Table II, 2023 (Detail) Today, intelligent machines merge with our lives in ways unimaginable just a decade ago. From recognizing our faces and interacting via speech to mapping travel routes and delivering news to our feeds, machine learning algorithms are now our constant,…

  • The Backstory of the Damaged Leaf Dataset

    The Backstory of the Damaged Leaf Dataset

    Lymantria dispar, also known as the spongy moth, is considered one of the most destructive invasive insects in the northeastern United States, responsible for defoliating millions of acres in North America. Its caterpillar prefers Oak trees though it feasts on 300 species of deciduous and evergreen trees and is known to parachute into cropping fields…

  • Datasets = Artistic Material In early 2020, before the widespread adoption of large language models like ChatGPT and text-to-image generators like Midjourney, I founded the UVM Art and AI Research Group, and I became one of the only faculty from the arts and humanities working in AI at my university. Initially, I was interested in…

  • The Second Falling of the Season

    The Second Falling of the Season

    Back to collecting for the Damaged Leaf Dataset! Leaves munched by #spongymoth caterpillars in #vermont are falling for a second time this year, and this time in full autumn colors. the first set of leaves fell in June and were mostly green.