Machine learning works and experiments at the intersections of trepidation, optimism, and the great beyond.
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Beyond Dystopia 2025
Beyond Dystopia is the online exhibition by students in Professor Amy Alexander’s 2025 seminar, Beyond Dystopia: “AI” and algorithmic ethics, bias, and possibilities for artists.
The artworks and research examine critical issues surrounding contemporary generative AI systems including race and gender bias, authorship, and automation bias. They probe the limitations of AI models in representing human cognitive and creative acts — from empathy to memory, from dance to image making. But they also suggest ways forward for humans: machine learning works and experiments at the intersections of trepidation, optimism, the present and the future.
Chats with GPT
Chats with GPT
Chris McCurdy & Allen Chen
How do LLMs mimic the conversational experience, and what does that say about how we perceive "humanity?"
Photoshop & AI
Photoshop & AI
Ashley Barnard, Mia Grafton, Ben Hur
How does the AI generative feature within Adobe Photoshop reveal any biases or "creativity" when interacting with an image?
The Re-Imagination of AI
The Re-Imagination of AI
Sergius Garcia & Connor Still
How does AI use and interact with outside mediums of art and performance? What do their outputs say about AI models?
AI through Historical Analysis
AI through Historical Analysis
Abby Hastings, Alexandria Ross, Anasofia Vildosola
Using AI to examine human art.
The Failures of
AI Art Generation
The Failures of
AI Art Generation
Chanel Lim & Yei Won Kim
Our aim is to understand what the "artstyle" of AI is, why it looks the way it does, and who it hurts in the process.
AI in Visual Storytelling
AI in Visual Storytelling
Sammitt Em & Jackie D'Amato
Our project explores how AI-generated visuals reinterpret human narratives through book covers and movie posters, revealing biases, limitations, and cultural inaccuracies in machine-generated creativity.
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